Image source: The Motley Fool. DATE Thursday, Aug. 6, 2026 at 5:00 p.m. ET CALL PARTICIPANTS - Chief Executive Officer - Subodh Kulkarni - Chief Financial Officer - Jeffrey Bertelsen TAKEAWAYS - Revenue -- $5.1 million for Rigetti Computing, Inc. (RGTI +1.07%), driven by on-premises Novera QPU sales during the second quarter. - Gross Margin -- 43% for the quarter, reflecting improvements from 31% in the prior year driven by contract mix and pricing. - Non-GAAP Net Loss -- $16 million or $0.05 per diluted share, compared to $13.3 million or $0.04 per share in the second quarter of 2025. - Cash and Investments -- $541.3 million as of June 30, 2026, which management believes provides sufficient runway for technology milestones. - R&D Expense -- $20.7 million for the quarter, focused on engineering headcount, fabrication, and infrastructure for higher qubit count systems. - Department of Commerce Funding -- Up to $100 million over three years, intended to accelerate superconducting quantum computing R&D through the CHIPS Act. - C-DAC Order Value -- $8.4 million for a 108-qubit system in India, with revenue recognition expected in the fourth quarter of 2026. - Cepheus-1-108Q Fidelity -- 99.9% median single-qubit and 99.1% median 2-qubit gate fidelity, maintaining performance levels at the 100-plus qubit scale. - Cepheus-1-108Q Gate Speed -- Approximately 60 nanoseconds, which management stated is 1,000 to 10,000 times faster than alternative modalities. - Coherence Times -- 25 to 30 microseconds, with a strategic goal to double or triple these times through material and design initiatives. - 3-Year Technology Goal -- 1,000 qubits and 99.9% 2-qubit gate fidelity, utilizing a modular chiplet-based architecture. - 9-Qubit Median Fidelity -- 99.8% 2-qubit gate fidelity, representing technical progress on the Novera platform. - 36-Qubit Median Fidelity -- 99.6% 2-qubit gate fidelity, driven by design optimizations in
Aug 14, 2026 · via fool.com
We have received text from S. 5313: Quantum Grid Utility Assurance and Resilient Defense Act of 2026. This bill was received on 2026-08-06, and currently has 1 cosponsor. Here is a short summary of the bill: This bill would direct federal energy regulators and the Department of Energy to address a new cybersecurity issue for the electric grid: the possibility that future quantum computers could break some of today’s encryption and create risks for critical grid systems. What it changes for federal regulators When the Federal Energy Regulatory Commission (FERC) reviews or updates electric reliability standards, it would have to specifically consider: - cybersecurity risks from quantum computers, and - whether post-quantum cryptography, or PQC , should be used in information technology and operational technology systems to reduce those risks. FERC could then take whatever action it determines is appropriate based on that review. What it requires the Department of Energy to do The bill would require the Secretary of Energy, through the Office of Cybersecurity, Energy Security, and Emergency Response, to set up a PQC sandbox within 1 year. This sandbox would be a test and development program focused on using post-quantum cryptography in electric grid systems. The sandbox could include: - briefings and workshops, - software challenges, - hardware modeling, - grid simulations, - red-team exercises, - pilot projects, demonstrations, and proof-of-concept testing. It would bring together stakeholders such as grid operators, vendors, federal agencies, state and local organizations, and distribution utilities. The goal would be to help test and encourage PQC use in both existing systems and systems expected to be deployed within the next 5 years. What study and report would be required The bill would also require the Department of Energy, in consultation with the Electric Reliability Organization and other relevant groups, to study quantum-related
Aug 14, 2026 · via quiverquant.com
Today’s utility work on quantum computing has one key goal: to not be left scrambling to address quantum’s impact on overall electricity demand and its curious load profile, like the electric power sector has been with artificial intelligence. Quantum computing harnesses the principles of quantum mechanics to process information in ways classical computers cannot, said Jeremy Renshaw, the director of open power AI and quantum with the Electric Power Research Institute. It adds new computing capabilities that complement classical computing, he added. Those capabilities could reduce AI data centers’ electricity use, improve cybersecurity and optimize power system dispatch. “In the near future, for the subset of problems where quantum computing holds an advantage, such as large-scale optimization and materials science, it offers polynomial or even exponential speedup,” Renshaw said. “Longer term, quantum computing will be the go-to resource for solving large scale problems.” Quantum computing is now reaching a “commercial tipping point,” according to an April McKinsey market report. Worldwide, over 300 companies have started trying out the complex technology that grew out of quantum physics, and investment in startups reached $12.6 billion in 2025 — six times the 2024 investment. While experts agree quantum computing has potential to unlock advances in energy, they say its load profile is still uncertain, presenting a particular challenge to electric utilities. “This is a toe-in-the-water moment that can show the opportunities and risks of quantum and its potential impacts on affordability and reliability in a gated way.” Brad Gibson COO, Middle Tennessee Electric Duke Energy is among the utilities working to understand quantum computing’s energy use and potential. “Utilities routinely balance thousands of interconnected variables involving generation, transmission, demand, weather, regulatory constraints and customer impacts,” Isuru Wijesundara, lead enterprise architect for energy strategy and advanced computing at Duke, told Utility Dive in an
Aug 14, 2026 · via utilitydive.com
Qubits are the quantum counterpart to the bits used in conventional computers. Bits have a "0" and "1" state that is defined by electric charge. In a type of qubit called a silicon spin qubit, the "0" and "1" states are defined by electron spin. This spin can point either up or down in a magnetic field, analogous to a tiny compass needle. Scientists build silicon spin qubits by trapping a single electron inside a thin layer of silicon. The thin layer of silicon (called a quantum well) is sandwiched between another semiconductor material. In addition to spin, electrons in silicon also have a quantum property called a valley state. The energy difference between these valley states is called valley splitting. Valley splitting competes with the spin states used for computation. If the valley splitting is too small, the electron can leak into unwanted valley states. This leakage causes errors and loss of fidelity. In this study, researchers examined how the quantum well affected valley splitting. The Impact Because silicon spin qubits build on the same technology that underpins today's semiconductor industry, they are one of the most promising platforms for scalable quantum computing. For years, researchers knew that defects and inconsistencies in the materials used in silicon quantum devices reduce valley splitting and cause failure. This valley splitting has long been known to vary from device to device, but its origin remained unclear. This study revealed that disorder on the atomic scale in the quantum well is the main source of variability of valley splitting. By identifying this root cause, the work turns a long-standing challenge into a tractable materials problem. It gives industry and National Laboratories a clear path towards building more reliable, higher-fidelity silicon qubits. Summary This study was enabled by a unique partnership in which Argonne
Aug 14, 2026 · via azoquantum.com
| Students conduct practical research at the Training Centre of Hồ Chí Minh City High-Tech Park. VNA/VNS Photo Thanh Vũ | HÀ NỘI — Quantum technology is shifting worldwide from basic research to applied use across industries. Việt Nam has placed cybersecurity and quantum technology on its list of 10 national strategic tech groups, betting on them to sharpen technological self-reliance and competitiveness in a new era. As the country's science, technology and innovation hub, HCM City is now scrambling to build capacity for the quantum age, with workforce development at the centre of its push to seize future opportunities. Universities to anchor quantum push Prof. Dr. Nguyễn Thị Thanh Mai, Director of the Việt Nam National University–HCM City (VNU–HCM), said the top priority is attracting global talent, especially networks of Vietnamese experts and scientists who trained and worked at major tech centres. On the domestic side, she said, the country must clearly define target groups, levels, orientation and teaching staff, and tie training directly to real demand. The aim is to build a quality, specialised and interdisciplinary quantum workforce within five to 10 years. VNU–HCM, one of Việt Nam's leading university systems, has already laid a foundation for quantum research and training. Grouping quantum technology with AI, semiconductors and cybersecurity in the strategic tech lineup signals that it is not a standalone field but wired directly into future core capabilities. The university is leveraging multidisciplinary strengths in physics, materials science, photonics, mathematics and information technology. It's pouring cash into high-performance computing for quantum computing and has has set up research groups targeting quantum computing and security. Key research directions span quantum simulation, algorithms and software, post-quantum cryptography, quantum materials, and fundamental research in quantum physics, quantum chemistry, photonics and materials, with several concrete outputs already delivered. For training, the
Aug 14, 2026 · via vietnamnews.vn
Rigetti Computing stock has delivered very large gains over the past three years, yet its recent checks still suggest it is priced on the expensive side rather than standing out as a clear bargain. Over the past three years, Rigetti Computing has returned very roughly 8 times an initial investment. This puts recent price action front and center for anyone thinking about valuation now. Growing commercial uptake of its quantum processing units and continued government interest in quantum computing may support high expectations. Reliance on ongoing external funding and execution on complex technology remain key risks if those expectations ease. Rigetti Computing currently scores 0 out of 6 on our broader valuation checks. This means the stock leans expensive rather than screening as cheap on this framework 0/6 valuation score. The issue now is whether Rigetti Computing's recent share price leaves enough valuation cushion for investors if the growth story or funding backdrop becomes less supportive. Is Rigetti Computing Getting Expensive on Book Value? For Rigetti Computing, P/B is the preferred yardstick because the company is still loss making and book value gives a clearer anchor than earnings. Rigetti Computing currently trades on a P/B of about 11.6x, compared with an industry average of about 5.2x and a peer group average near 8.0x. That means the market is paying a much higher price for each dollar of Rigetti's net assets than for the typical semiconductor stock. The gap suggests investors are placing a premium on its quantum computing assets and future potential rather than its present balance sheet strength. Because Rigetti recently highlighted expanding commercial sales and fresh government funding interest, including a letter of intent for up to US$100 million in support, the elevated P/B multiple reflects optimism already embedded in the stock. Anyone considering the shares should recognise
Aug 14, 2026 · via simplywall.st
Quanta Computer and Quantinuum Partner to Build an Industrial Foundation for Large-Scale Quantum Computing - Partnership combines Quantinuum's quantum computing leadership with Quanta Computer's expertise in industrializing advanced computing systems at a global scale - Companies plan to co-develop the infrastructure, systems engineering, and manufacturing capabilities required for future generations of quantum computers - Collaboration aims to support Quantinuum's technology roadmap toward commercially-deployable, large-scale, fault-tolerant quantum systems BROOMFIELD, Colo., and TAIPEI, Aug. 14, 2026 /PRNewswire/ -- Quanta Computer ("Quanta"), a Fortune Global 500 manufacturer of advanced computing and cloud infrastructure, and Quantinuum (Nasdaq: QNT), a leading quantum computing company, today announced a collaborative development agreement to help establish an industrial foundation for the next era of quantum computing. Under the terms of the agreement, the companies plan to jointly develop critical hardware infrastructure supporting future generations of Quantinuum's quantum systems, combining Quantinuum's quantum technology leadership with Quanta's expertise in scaling sophisticated computing platforms. Quanta and Quantinuum aim to create a practical pathway from today's quantum systems to commercially deployable quantum computers capable of supporting broad enterprise and scientific adoption. The collaboration is aiming to accelerate the path toward scalable quantum computing infrastructure. With joint engineering work already underway, the companies are designing the next generation of hardware infrastructure with the objective of making future quantum computers more modular, manufacturable, and scalable. "It is time for quantum computing to transition from breakthroughs in physics achieved in the lab to breakthroughs in system manufacturing that can be deployed and operated at scale," said Dr. Rajeeb Hazra, President and CEO of Quantinuum. "Quanta has earned a global reputation for industrializing some of the most advanced computing technologies in the world. By working together, we can help ensure the manufacturing ecosystem, engineering expertise, and supply chains required for large-scale quantum computing evolve in parallel
Aug 14, 2026 · via prnewswire.com
VANCOUVER, BC, Aug. 13, 2026 /PRNewswire/ -- BTQ Technologies Corp. ("BTQ" or the "Company") (NASDAQ: BTQ) (CBOE CA: BTQ), a global technology company building the trust infrastructure for the quantum era, is pleased to provide the voting results from the 2026 Annual Meeting of shareholders. The Company announces that the nominees listed in the management proxy circular dated June 29, 2026 (the "Circular") for the 2026 annual meeting of shareholders of the Company (the "Meeting") were elected as directors of the Company. Detailed results of the vote for the election of directors held at the Meeting on August 12, 2026 in Vancouver, British Columbia are set out below. Fixing Number of Directors at five (5) The number of directors of the Company was fixed at five (5). The results of the votes cast are set out below: | Votes For | | % For | | Votes Against | | % Against | | 70,511,148 | | 99.52 % | | 341,448 | | 0.48 % | Election of Directors The shareholders approved the election of the persons listed below as directors, based on the following vote. | Name | Votes For | % For | Votes Withheld | % Withheld | | Olivier Roussy Newton | 49,120,272 | 94.92 % | 2,626,252 | 5.08 % | | Chris Tam | 51,485,125 | 99.49 % | 261,399 | 0.51 % | | Philippe Lucet | 49,100,314 | 94.89 % | 2,646,210 | 5.11 % | | Mansour Al Suwaidi | 50,241,123 | 97.09 % | 1,505,401 | 2.91 % | | Lionel de Saint-Exupery | 51,439,834 | 99.41 % | 306,690 | 0.59 % | Appointment of Auditors MNP LLP was appointed as the auditor of the Company for the ensuing year and the board of directors of the Company
Aug 14, 2026 · via prnewswire.com
- Quantum mechanics may miss a deeper deterministic structure behind seemingly random events. - Quantum computers might be able to test that theory. If quantum states are not truly continuous, then these machines may eventually fail to scale as standard quantum mechanics expects. - That case may provide evidence that what we call luck may actually reflect a deeper, hidden structure, rather than pure chance. Since the birth of quantum mechanics—the early 20th century theory that governs the strange behavior of particles at the smallest scales—the notion of randomness has taken on an almost mythical status in physics. However, some scientists theorize that quantum mechanics is incomplete—because it’s missing the underlying truth that events aren’t totally random after all. Over time, that idea has seeped beyond physics itself, shaping a broader intuition: that a deep-seated fundamental structure determines the outcome of even seemingly random events. And if such uncertainty lies at the core of reality, then it would imply that these rules not only influence physical phenomena, but could also influence the random events in your life—good and bad. If reality is truly cause-and-effect, not random, then whatever behind-the-scenes structure shapes the final states of particles and probabilities leaves less room for chance than quantum theory suggests. Timothy Palmer, PhD, a Royal Society research professor in climate physics at the University of Oxford, thinks there’s a way to test whether or not quantum mechanics is a complete framework, using quantum computers. He thinks it might not be, because capturing the full, hidden order of reality means the math used to describe it shouldn’t add possibilities that don’t exist in nature. For example, the observable universe never actually requires infinitely precise numbers, as we derive from numbers like π, the never-ending ratio that defines every circle. But the theory of the
Aug 13, 2026 · via popularmechanics.com
How Technology Leaders Should Think About Quantum Computing Quantum computing has transitioned from theoretical curiosity into a phase of engineering reality. Vendors are showing real progress in solving scaling and error correction challenges. There are realistic roadmaps for shipping quantum computers that could deliver commercial value. But that value will be uneven, emerging in specific high-value problem classes and over different time horizons. Technology leaders need a practical view of where quantum computing is likely to matter and when. Quantum Computers Are Different Computers, Not Faster Computers Quantum computers are not supercomputers with more horsepower, as is often portrayed in news media. Classical computers are grounded in Boolean logic derived from the voltage flowing through semiconductors. Quantum computers are grounded in linear algebra and wave interference patterns from quantum mechanical phenomena. This makes quantum fundamentally different, suited for different kinds of problems. What types of problems? Those involving exponentially growing combinations, quantum-level physical systems, or probabilistic outcomes that classical systems struggle to model efficiently. Think portfolio optimization, molecular simulation, materials discovery, logistics routing, energy grid modeling, and certain forms of stochastic risk analysis. What does this mean? If it can be solved classically, it will continue to be solved classically. It also means quantum computers will be a component inside a broader computational pipeline, tackling compute tasks in the pipeline that classical computers cannot solve, while deferring to classical for the rest. Quantum computing will thus not mature as a standalone platform. Quantum computers will be hybrid, mixing classical compute with quantum as a unified system. Vendors that make quantum accessible through hybrid runtimes and integration with classical compute will be the ultimate market leaders. Quantum Value Will Evolve Into Selective Commercial Relevance In the short term, the market will remain defined by experimentation. Progress will come from better error
Aug 13, 2026 · via forrester.com
Researchers at Universidade Federal de São Carlos (UFSCar) in Brazil have developed a building block for quantum computing utilizing continuous-variable computation. Published August 13, 2026, in Quantum Science and Technology with DOI 10.1088/2058-9565/ae9187, the work details a superconducting device exploring an approach that differs from more common qubit-based systems. This continuous-variable method exploits the infinite-dimensional Hilbert space of bosonic modes, potentially offering a distinct path toward scalable and universal quantum computation. The authors report that the system achieves high fidelities within current parameter ranges. This two-layer system utilizes a DC-SQUID as the foundational bosonic mode, circumventing limitations found in existing superconducting platforms and offering a different approach to scalability. The work demonstrates high fidelities across all gates within achievable experimental parameters, a crucial step toward practical continuous-variable quantum computers. The architecture integrates a fluxonium qubit to mediate nonlinear interactions essential for quantum processing, alongside two ancillary qubits that facilitate both Gaussian and multi-mode operations. By precisely tuning applied fluxes and frequencies, the team achieved control over rotation, displacement, squeezing, Kerr interactions, and beam splitting, the five gates comprising a universal continuous-variable set. This level of control is significant because it allows for the implementation of any quantum algorithm within the continuous-variable framework, which differs from the more common qubit-based approach. The researchers report that the modular design of the system is intended to allow for scaling to more complex circuits. This development addresses a key challenge in superconducting quantum computing; while superconducting qubits have shown promise, realizing universal continuous-variable computation has remained elusive. The team’s simulation indicates that the system operates within current parameter ranges, suggesting a viable path toward physical realization. The study’s data and numerical codes are available upon request, facilitating further investigation and replication of the results. The published work establishes “a feasible pathway toward high-fidelity, universal
Aug 13, 2026 · via quantumzeitgeist.com
Sponsored Building a practical path to post-quantum cryptography Quantum computing will reshape encryption, but not overnight, and a disciplined, phased approach lets organizations modernize cryptographic foundations without disruption while strengthening security today. Provided byIntel Quantum computing has alternated between breakthrough darling and overhyped promise in technology circles. Its powerful new capabilities come with a threat to break current cryptography, but for business leaders navigating the noise, the signal should be clear: post-quantum cryptography (PQC) is a manageable evolution, not a crisis. The mathematics behind today's encrypted digital transactions may yield to quantum computers one day, but the transition to quantum-resistant algorithms is neither sudden nor insurmountable. For executives concerned about disruption, cost, or complexity, a structured and phased approach exists with trusted technology partners like Intel that are already beginning to deliver the infrastructure to make it possible. A natural evolution, not a cliff edge The "quantum threat" narrative often swings between two extremes: imminent catastrophe or distant irrelevance. The reality occupies a more pragmatic middle ground. Quantum computers are highly specialized accelerators that exploit quantum physics to solve specific hard problems. They have the potential to crack modern encryption, but they will not replace classic servers overnight, nor will they instantly break every encryption protocol on the internet. What they will do is gradually shift the security landscape, much as previous cryptographic transitions have done over the past three decades. In late 2024, the Global Risk Institute, a Toronto-based financial services think tank, surveyed 32 quantum computing experts on when a quantum computer could break a 2048-bit RSA key within 24 hours. An average of optimistic and pessimistic estimates from the experts gave it an even 50-50 probability of reaching this code-breaking milestone by 2040. This timeline, uncertain but measurable, creates space for deliberate planning rather than emergency reaction.
Aug 13, 2026 · via technologyreview.com
Building a practical path to post-quantum cryptography Quantum computing will reshape encryption, but not overnight, and a disciplined, phased approach lets organizations modernize cryptographic foundations without disruption while strengthening security today. Quantum computing has alternated between breakthrough darling and overhyped promise in technology circles. Its powerful new capabilities come with a threat to break current cryptography, but for business leaders navigating the noise, the signal should be clear: post-quantum cryptography (PQC) is a manageable evolution, not a crisis. The mathematics behind today’s encrypted digital transactions may yield to quantum computers one day, but the transition to quantum-resistant algorithms is neither sudden nor insurmountable. For executives concerned about disruption, cost, or complexity, a structured and phased approach exists with trusted technology partners like Intel that are already beginning to deliver the infrastructure to make it possible. Advertisement A natural evolution, not a cliff edge The “quantum threat” narrative often swings between two extremes: imminent catastrophe or distant irrelevance. The reality occupies a more pragmatic middle ground. Quantum computers are highly specialized accelerators that exploit quantum physics to solve specific hard problems. They have the potential to crack modern encryption, but they will not replace classic servers overnight, nor will they instantly break every encryption protocol on the internet. What they will do is gradually shift the security landscape, much as previous cryptographic transitions have done over the past three decades. This story is only available to subscribers. Don’t settle for half the story. Get paywall-free access to technology news for the here and now. In late 2024, the Global Risk Institute, a Toronto-based financial services think tank, surveyed 32 quantum computing experts on when a quantum computer could break a 2048-bit RSA key within 24 hours. An average of optimistic and pessimistic estimates from the experts gave it an even 50-50
Aug 13, 2026 · via technologyreview.com
CFOs with a soft spot for science fiction have traditionally viewed quantum computing as something both intriguing conceptually and consequential enough to monitor. No matter how many Star Trek posters they had hanging on their childhood bedrooms, however, most finance teams have viewed quantum computing as a distant enough capability to leave out of today’s operating plan. New research from IBM published at the end of July is shifting the quantum debate from whether machines can perform technically impressive calculations toward where those calculations might become economically useful. The research, conducted with the University of Chicago and several quantum software firms, demonstrated instances of “quantum advantage,” meaning quantum systems can perform certain computations beyond the practical reach of classical computers while producing results that can still be rigorously validated. The work was published across three research papers using IBM’s Heron processors. The milestone is not that classical computing suddenly became obsolete. It is that financial organizations can increasingly begin asking a different question: not whether quantum computing works, but whether there are individual business problems for which it eventually works better than existing solutions. For chief financial officers, that creates three questions worth understanding now. Read also: Big Tech Races to Quantum Safety as Cyber Threat Clock Ticks Down Quantum Advantage for IBM Does Not Mean Quantum ROI for CFOs The first takeaway of the research is that IBM’s quantum advantage breakthroughs do not mean every mid-market company needs a quantum budget line, asap. The papers have not yet undergone peer review, and outside researchers quoted by IEEE Spectrum dispute whether every experiment supports as strong an advantage claim as IBM suggests. And it bears repeating that technology can achieve computational advantage without achieving commercial advantage. PYMNTS covered on Wednesday (Aug. 12) how that’s the emerging case across financial tokenization,
Aug 13, 2026 · via pymnts.com
Scott Buchholz is the CTO of Deloitte Consulting LLP's Government and Public Services practice. There have been significant research advancements in quantum computing in recent years, and a bridge exists between those developments and how the technology can benefit organizations today. Business leaders need to be aware that the bridge exists to start preparing for the quantum future (whichever form or forms it takes), but should not plan to sprint across that bridge. In a recent report my team and I published, we discussed how leaders can balance quantum computing investment timing to avoid spending too early without ROI or delaying it so long that they fall behind. Leaders should balance business outcomes and accountability with novel intellectual property development in their organizations’ quantum computing journeys. Why Leaders Should Consider Using Quantum-Inspired Techniques I previously wrote about three quantum-inspired techniques that can run on current classical hardware: quantum-inspired feature engineering for machine learning, quantum-inspired simulated annealing and quantum-inspired Monte Carlo alternatives. These quantum-inspired techniques give leaders an opportunity to improve outcomes without the risks of waiting for quantum computing to mature commercially or making investments in technology that may not yield short-term results. For instance, teams can use quantum-inspired feature engineering to improve existing machine learning pipelines for anomaly and fraud detection. They can leverage quantum-inspired simulated annealing to tackle complex optimization problems, such as inventory management and supply chain logistics. As for quantum-inspired Monte Carlo alternatives, leaders can use them to make more accurate valuations and risk assessments, such as derivative pricing and estimates of catastrophic but rare events. Which techniques an organization should explore depends on its industry and the use cases it wants to solve. A bank may benefit from quantum-inspired feature engineering for fraud detection, whereas a manufacturer would see more value in quantum-inspired simulated annealing
Aug 13, 2026 · via forbes.com
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Aug 13, 2026 · via youtube.com
China's Quantum Flywheel Six months of Party mobilization Elias X. Huber, author of the China ∩ Quantum blog, is a researcher at Fraunhofer Singapore and Singapore’s Centre for Quantum Technologies, where he works on security assurance for quantum cryptography. He previously was a Yenching Scholar at Peking University and holds an MSc from ETH Zürich. Today, he presents an incredible deep dive on the state of Chinese quantum, specifically how the Party’s future industry machinery is mobilizing quantum commercialization in the first half of 2026. We hope you enjoy it. The Chinese quantum sector evolved rapidly over the first six months of this year. The many Western think tank reports written on China’s quantum ecosystem in 2025 already feel extremely dated. The structure of Zhongnanhai’s mandates for China’s quantum sector have been clarified by the 15th Five-Year Plan in March 2026 — where quantum technologies are listed first among the future industries — as well as Xi Jinping’s Future Industry speech delivered to the Politburo in a 2026 study session, the associated essay in Qiushi 求是 (the Party’s official theoretical journal, literally, “Seeking Truth”) and countless articles and study sessions in response (such as by MOST and MIIT ministers, local cadres and quantum start-ups). Emerging initiatives are implementing abstract, high-level instructions from the party, translating loaded policy jargon into concrete actions that we’ll analyze today. It truly feels like a new industry is being willed into existence. Like a flywheel slowly picking up speed. Today’s deep dive will catch you up on how much changed in just half a year, covering… - The scale of raw commercial expansion, with skyrocketing investments through over 40 H1 investment rounds analyzed for this article, a (neutral atom) quantum computing boom approaching 30 quantum computing hardware companies, and a multitude of new quantum funds.
Aug 13, 2026 · via chinatalk.media
IBM Just Made A Huge Fusion Energy Breakthrough Thanks To Quantum Computing Quantum computing is kicking the doors open on a fusion energy problem that has long challenged scientists. IBM, in partnership with the Oak Ridge National Laboratory and Cleveland Clinic, discovered a new way to model how fusion plants could produce and recover tritium. It's a rare fuel found in several common objects that are radioactive. Tritium is created naturally when cosmic rays reach the upper atmosphere, but supplies are limited as its 12-year half-life results in relatively quick decay. The lack of tritium is a roadblock to having fusion as a power source. But this radioactive isotype of hydrogen can be produced by exposing more commonly available lithium to neutrons. Tritium is notoriously hard to capture and reuse, but a molten salt known as FLiBe (fluorine, lithium, and beryllium) can surround the fusion reaction like a blanket, helping with this process. Scientists need to know which recipe for doing so is the most efficient, but calculations on this scale are too challenging for classical computers. The solution is to use classical computers for simpler modeling and let IBM's quantum hardware determine the nine specific molecular configurations of this material. It helped them model how the molten salt behaves with and without tritium. IBM calls it the first-known instance of fusion-material computations on quantum computers. How quantum computing helps solve fusion's biggest problem Nuclear fusion is nuclear fission's friendlier cousin. Instead of splitting atoms, fusion combines them, much like the sun. The process doesn't produce chain reactions, and it creates shorter-lived radioactive waste. Fusion has a lower risk of meltdown and a smaller environmental footprint than fission. Yet the potential is enormous, which is why this quantum computing breakthrough is important. Fusion is incredibly hard to control. The process
Aug 13, 2026 · via bgr.com
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Aug 13, 2026 · via youtube.com
Two UC Riverside computer scientists are joining projects selected for federal funding under the U.S. Department of Energy's Genesis Mission, an initiative that seeks to harness artificial intelligence to accelerate scientific discovery. Associate Professor Daniel Wong will lead a research team seeking to improve the speed and accuracy of quantum computing, while Distinguished Professor Kadangode “K.K.” Ramakrishnan will join a team led by Oak Ridge National Laboratory to improve how scientific data and specialized equipment are shared among laboratories and researchers collaborating across the country. The DOE recently selected 278 Genesis research projects nationwide to share $293 million in funding. Both projects involving UCR faculty and students were selected for Phase I awards, which range from $500,000 to $750,000, according to the DOE. The Genesis Mission brings together artificial intelligence, high-performance computing, and scientists from universities, national laboratories, and industry. The DOE says the initiative aims to double U.S. scientific productivity while tackling challenges in advanced manufacturing, biotechnology, critical materials, nuclear energy, and quantum information science. Making quantum computers more reliable Wong is leading a project that would use AI to overcome one of the biggest obstacles to large-scale quantum computing: correcting errors fast enough to keep calculations on track. Quantum computers are highly susceptible to noise and other disturbances that introduce errors. Correcting them requires conventional computers to continuously interpret measurements from quantum processors and determine what went wrong. In superconducting quantum computers, that decoding may eventually need to occur within about 1 microsecond — one-millionth of a second. Wong's team plans to develop AI-based error decoders that combine realistic models of quantum computer noise with high-fidelity simulations. The resulting data would train powerful AI models to recognize error patterns and predict the corrections needed. "Reliable and fast error correction is one of the key capabilities needed to make
Aug 13, 2026 · via news.ucr.edu