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Quantum Computers
Silex completes <b>quantum</b> silicon plant, eyes Q1 2027 output
Silex completes quantum silicon plant, eyes Q1 2027 output - Silex Systems (ASX:SLX) has finished building its laser‑based Quantum Silicon production plant in Sydney and started commissioning - The initial Q‑Si module is expected to produce up to 20kg of enriched silicon‑28 a year once sample output begins in Q1 2027 - Silex Systems (ASX:SLX) says demand for high‑purity silicon‑28 for quantum computers could rise sharply over five to ten years from a sub‑50kg annual market today Silex Systems (ASX:SLX; OTCQX:SILXY) has completed construction of the SILEX Quantum Silicon (Q‑Si) Production Plant, described as the world’s first laser‑based silicon enrichment facility, at its site in Sydney and has begun commissioning work on the plant’s laser system and first two enrichment reactors. The project aims to supply enriched silicon‑28 for next‑generation silicon‑based quantum computers, with Silex noting that current global demand is under 50kg per year and that enriched silicon has historically been sourced mainly from Russia, but the company expects demand to grow significantly over the next five to ten years as quantum computing develops. “We are excited about our upcoming entry into the critical supply chain for silicon‑based quantum computing and providing a vital strategic material in the form of highly enriched Q‑Si,” said Silex CEO and Managing Director Michael Goldsworthy. Silex says sample production of highly enriched silicon‑28 is expected to start in the first quarter of calendar 2027, with the initial production module capable of producing up to 20kg of Q‑Si per year depending on market demand and customer purity requirements, delivered in gaseous and solid forms for different customer needs. The company is currently qualifying Q‑Si products to high isotopic and chemical purity standards with its first commercial offtake partner, Silicon Quantum Computing Pty Ltd, and says increasing engagement with offshore technology companies is expected to
71 Harvest Now, Decrypt Later: A Guide to Post-<b>Quantum</b> Cryptographic Migration | by ...
Member-only story Quantum Sundays |71⟩ Harvest Now, Decrypt Later: A Guide to Post-Quantum Cryptographic Migration How Organizations Can Defend Against Quantum-Era “Harvest Now, Decrypt Later” Attacks with Post-Quantum Cryptography, Hybrid TLS, and Crypto-Agile Migration tl;dr — Harvest Now, Decrypt Later is the strategy of collecting encrypted data today and decrypting it years from now, once a cryptographically relevant quantum computer can break the public-key cryptography that protects nearly every secure connection. The risk does not start when that machine arrives. It starts the moment your ciphertext is captured, because any secret that must outlive your migration window is already exposed. Forward secrecy does not save you, larger keys do not save you, and the only real defense is moving key establishment to post-quantum or hybrid cryptography before the harvesting window closes. This piece covers the full picture: the mechanism, Mosca’s risk math, the attack taxonomy, working code, the documented collection infrastructure, the standards and deadlines now in force, and where your sector sits on the exposure curve. Harvest Now, Decrypt Later (HNDL) is the strategy of collecting encrypted data today and…
Silex Systems completes <b>quantum</b> production facility in Sydney
Silex Systems completes quantum production facility in Sydney The news: Silex Systems has completed the construction of its Silex Quantum Silicon Production Plant (Q-Si), marking the launch of the worldâs first laser-based silicon enrichment facility in Sydney. The context: The production from Q-Si is set to commence in 2027, with the initial module producing up to 20kg of quantum silicon annually, which will then be converted into gaseous and solid product forms. The Q-Si is required to build the silicon-based quantum computers being developed by advanced semiconductor companies worldwide. Silex projects that quantum computers will revolutionise the technology industry by offering a massive leap in processing power compared to the most advanced chips made by Nvidia, Intel, IBM and AMD. The company added that quantum computing is expected to underpin a transformational performance lift for artificial intelligence. Silex expects the commercialisation of the technology by the end of the decade. What they said: âQuantum computing is emerging as a critical strategic technology globally, into which governments and corporates, including semiconductor companies and hyperscalers, are investing billions of dollars annually,â CEO Michael Goldsworthy said. The source: ASX
AWS aims to offer fault-tolerant <b>quantum computer</b> cloud service with QuEra Computing
Amazon Web Services (AWS) said on Sunday it is expanding cooperation with neutral-atom quantum computing company QuEra Computing and will provide the fault-tolerant quantum computer Libra through Amazon Braket as a cloud service by 2028. AWS launched Amazon Braket in 2020, a cloud service that provides access to a range of quantum computing hardware. The company said quantum computers have a fundamental limitation because qubits are prone to errors even from small changes in the external environment. Fault-tolerant quantum computing is based on error correction technology to overcome this limitation. It is seen as a key turning point that enables quantum computers to handle problems that existing computers cannot solve. The expanded cooperation centres on Libra, a Megaquop-scale quantum device. Libra can perform more than 1 million quantum operations based on hundreds of logical qubits. This is seen as a threshold level needed to enable scientifically practical applications. The company said that when Libra is provided via Amazon Braket as a cloud service in 2028, researchers and companies worldwide will be able to access fault-tolerant quantum computing without separate quantum hardware. In addition to the Rydberg-atom method, AWS is independently developing Ocelot, a superconducting cat-qubit-based chip, at the AWS Center for Quantum Computing. Mikhail Lukin (미하일 루킨), QuEra Computing's chief science officer, said, "This is a very special moment. For the first time, the dream of realizing a useful, fault-tolerant quantum computer is right in front of us." He said, "This system, designed to enable unprecedented-scale quantum computation, will realize truly differentiated applications, and I am proud that by greatly expanding our collaboration with AWS we will provide these unique capabilities to a broader scientific user community."
Could D-Wave (NYSE:QBTS) Stay Ahead in the <b>Quantum Computing</b> Race? | Kalkine Media
Highlights Quantum computing remains a closely watched technology theme. Commercial progress continues to shape industry competition. Product expansion and enterprise demand remain key focus areas. D-Wave Quantum (QBTS) and Rigetti Computing (RGTI) continue to attract attention as quantum computing evolves. While both companies are advancing their technologies, commercial execution, enterprise adoption, and platform development are emerging as key factors influencing market sentiment through the remainder of the year. Quantum computing continues to attract significant attention as one of the most transformative areas of modern technology. D-Wave Quantum (NYSE:QBTS) and Rigetti Computing (NYSE:RGTI) remain among the most recognized publicly listed companies dedicated exclusively to this emerging industry. Although broader technology markets have experienced cautious sentiment amid macroeconomic uncertainty, both companies continue advancing their research, commercial strategies, and customer ecosystems. The quantum sector remains at an important stage where technological breakthroughs must increasingly translate into commercial applications. Governments, research institutions, and enterprise customers continue investing in quantum innovation, recognizing its long-term role in solving highly complex computational challenges that traditional computing systems may struggle to address. While both D-Wave and Rigetti continue developing sophisticated quantum hardware and cloud services, their business strategies differ in meaningful ways. Investors and industry observers are closely monitoring which company can successfully convert technological leadership into broader commercial adoption. Understanding the Current Quantum Computing Landscape Quantum computing has steadily evolved from academic research into a commercially developing technology sector. Unlike conventional computers that process information using binary bits, quantum computers rely on quantum bits capable of handling multiple computational states simultaneously. This unique capability creates opportunities across industries including: - Manufacturing optimization - Financial modeling - Logistics planning - Drug discovery - Artificial intelligence - National security research - Scientific simulations Despite growing enthusiasm, commercialization remains gradual. Organizations continue evaluating practical applications while hardware developers focus on
STMicroelectronics Unveils ST54M Secure Mobile Chip with Post-<b>Quantum</b> Cryptography
European semiconductor company STMicroelectronics (ST) unveiled its ST54M secure mobile chip with a built-in hardware accelerator for post-quantum cryptography (PQC) on June 24. The chip is designed to help mobile devices prepare for future quantum computing threats. The ST54M integrates near-field communication (NFC), a secure element (SE), an embedded subscriber identity module (eSIM), and a PQC hardware accelerator into a single chip die. It is designed to handle security functions such as payments, identity authentication, and mobile subscriber authentication in personal electronic devices, including smartphones and digital car keys. As sufficiently powerful quantum computers emerge in the future, some of today's widely used public-key cryptographic algorithms could become vulnerable. Payment credentials, digital identities, and digital car keys stored on mobile devices will also need protection against such threats. PQC is a next-generation cryptographic technology designed to remain secure even against attacks by quantum computers. ST54M addresses this transition by integrating a dedicated hardware accelerator for PQC operations directly into the chip. The ST54M supports the Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) and the Module-Lattice-Based Digital Signature Algorithm (ML-DSA). ML-KEM enables two devices to establish a shared secret key over a public communication channel, while ML-DSA verifies that electronic documents and messages have not been forged or altered. Both algorithms are based on lattice-based mathematical problems. The hardware accelerator is also designed to defend against side-channel attacks and fault-injection attacks. Side-channel attacks attempt to infer confidential information by analyzing characteristics such as power consumption, processing time, or electromagnetic emissions from a chip. Fault-injection attacks intentionally induce errors in chip operation to extract sensitive security information. ST is currently providing ST54M samples to customers. The company is targeting completion of Common Criteria (CC) 2022 certification under the European Union Cybersecurity Certification Scheme (EUCC) and EMVCo certification next month. Mass production is also scheduled to
Science
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Troitsk Nu-Mass Hardware: WGTS, MAC-E Filter, and Multi-Pixel SDD Architecture
Table of links Table of links Abstract Abstract Abstract 1 Introduction 1 Introduction 1 Introduction 2 Troitsk nu-mass 2 Troitsk nu-mass 2 Troitsk nu-mass 3 Rear wall simulation 3 Rear wall simulation 3 Rear wall simulation 4 Results and References 4 Results and References 4 Results and References 2 Troitsk nu-mass 2 Troitsk nu-mass The experiment consists of two main components, figure 1, which are a Windowless Gaseous Tritium Source and an Electrostatic Spectrometer with Magnetic Adiabatic Collimation (MAC-E filter), reference [1]. The spectrometer entrance pitch magnet is at 7.2 T. The magnetic field in the detector location is 1.8 T. A gaseous source with freely circulating radioactive gas allows one to avoid solid state effects associated with a "substrate" or "window". The magnetic field in the WGTS has the shape of a magnetic bottle formed by the superconducting solenoids with a field value of 0.2 T in the main central part with a diameter of 50 mm and 1.2 T magnets at the edges with an inner diameter of 20 mm. To describe the motion of electrons in a magnetic field it is necessary to use a simple formula for transformation of the particle azimuthal angle 𝜃 relative to the field direction with the field strength, 𝐵 We can estimate the maximum angle of electrons produced in the WGTS at which they will escape from the bottle. In this case 𝑠𝑖𝑛(𝜃1) = 1 and 𝜃2 = 𝑎𝑟𝑐𝑠𝑖𝑛( √︁ 𝐵2/𝐵1). With 𝐵1=1.2 T and 𝐵2=0.2 we get 23 degrees relative to the field axis. All electrons at a larger produced angle will be trapped. Electrons from the WGTS are transported to the spectrometer by a system of superconducting solenoids. A pitch solenoid at 7.2 T at the spectrometer entrance sets an additional angular cut of about 9 degrees for the
Filipp And Colleagues Develop P-Mon Qubit Interactions For Scalable <b>Quantum</b> Processors
Scientists at Technical University of Munich, led by Frederik Pfeiffer, have demonstrated a high-fidelity two-qubit gate utilising multimode superconducting P-mon qubits. Achieving a CZ gate with a duration of 180 nanoseconds and a fidelity of 99.62 ±0.04%, represents a significant advance in the development of scalable superconducting quantum architectures. By carefully exploiting the mediator modes intrinsic to P-mon qubits, they successfully reduced unwanted ZZ-type interactions to below 3.6 ±0.5kHz, thereby preserving qubit coherence and paving the way for larger, more stable quantum processors. This approach offers inherent protection against decoherence originating from the readout environment, addressing a critical obstacle in the ongoing pursuit of practical quantum computing. Reduced qubit interactions enable high-fidelity superconducting quantum computation Error rates were reduced to 0.38%, a substantial improvement compared to previous superconducting qubit designs. Achieving fidelity exceeding 99% is a crucial milestone for scalable quantum computing, a threshold previously difficult to surpass due to persistent qubit-qubit interactions that introduce errors which accumulate rapidly as processor size increases. These unwanted interactions stem from capacitive or inductive coupling between qubits, leading to frequency shifts and unwanted phase evolution. At Technical University of Munich and Saarland University, a controlled two-qubit CZ gate with a fidelity of 99.62 ±0.04% was implemented, utilising P-mon qubits and their unique ‘mediator’ modes to facilitate on-demand coupling. The CZ gate, a fundamental building block for quantum algorithms, requires precise control over the interaction between qubits to perform logical operations without introducing significant errors. The P-mon qubits’ performance was further characterised by measuring unwanted ZZ-type interactions, always-on coherent errors that accumulate as processor size increases and limit the duration of quantum computations. These interactions, arising from residual coupling between qubits even in the idle state, were suppressed to below 3.6 ±0.5kHz. This suppression is achieved through the careful design of the P-mon qubit,
Nvidia Keeps Expanding Its <b>Quantum</b> Ecosystem. Here's Why It Matters
Quantum computing is still in its early days, but Nvidia (NVDA) is making sure it has a place in the industryâs future. In a recent industry update, Rosenblatt Securities analyst John McPeake highlighted Nvidiaâs latest quantum announcements. Last week, the company added new partners to its CUDA-Q software platform and NVQLink technology. It also unveiled 35 new AI supercomputers for Europe. TipRanks' Prime Week Sale - 70% Off 200% short exposure to NVDA with NVDSWhy Is Nvidia Investing in Quantum? Nvidia does not build quantum computers. Instead, it builds the tools that help developers use them. Its GPUs can handle AI and other computing tasks, while quantum computers work on a small group of problems that are too difficult for todayâs machines. Nvidia expects AI and quantum computers to work together. AI and traditional computers will handle most of the work, while quantum computers will take on the hardest calculations. By building the software that connects them, Nvidia hopes to become a key part of the quantum computing market. What Did Nvidia Announce? McPeake highlighted that the company expanded its quantum ecosystem by adding new partners, including Quandela, Qilimanjaro, Eclipse Qrisp, Zapata, Aegiq, and FirstQFM. These companies are integrating their software and hardware with Nvidiaâs CUDA-Q and NVQLink platforms. The goal is to make it easier for developers to build and run quantum applications. McPeake also noted that Nvidia introduced 35 new AI supercomputers for Europe. Some of these systems include quantum-GPU technology. This expands Nvidiaâs quantum software platform and gives developers more ways to build quantum applications. What Does It Mean for Investors? Quantum computing is still years away from broad commercial use. However, companies are already building the tools and software needed for that future. Nvidiaâs latest moves show it wants to supply the technology that links AI
Microsoft's NEW <b>Quantum</b> Chip Changes Everything! ⚛️ #shorts##quantumcomputer@Microsoft
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Why your smartest people stop taking risks at work (and how to reverse it)
Why your smartest people stop taking risks at work (and how to reverse it) Welcome to Fast Company Daily, our daily newsletter on LinkedIn, featuring a free article selected each day by our editors as well as a roundup of great advice on careers, hiring, innovation, and technology. Visit fastcompany.com for our top stories and breaking news. First time seeing this? Please subscribe. In a city not known for bureaucratic efficiency, the Illinois Quantum and Microelectronics Park (IQMP), a 128-acre parcel being developed on the former site of the U.S. Steel plant on the South Side of Chicago, is a remarkable exception. Plans for the sprawling innovation campus—backed by $500 million in state funding—were announced in July 2024. Builders broke ground just over a year later, last September. Today, construction crews are busy digging and building—and one massive silver building is already nearing completion, a 65,000-square-foot warehouse that will house what could be the world’s first utility-scale fault-tolerant computer, belonging to the park’s anchor tenant, the quantum computing startup PsiQuantum. Since emerging from stealth in 2021, the Palo Alto-based company has racked up an impressive string of wins—progressing through multiple rounds of the Defense Advanced Research Projects Agency’s (DARPA’s) rigorous Quantum Benchmarking Initiative, and last November raising $1 billion in a funding round that valued the company at $7 billion. This May, PsiQuantum was one of nine companies involved in quantum computing to receive funding under the CHIPS and Science Act of 2022. It got $100 million, and the government took a minority stake. But Chicago is where the rubber hits the road. Here, the company aims to build a massive machine that will leverage quantum mechanics to calculate problems too hard for today’s classical computers and simulate the complex dynamics of chemistry, biology, physics, and financial markets in ways
Post-<b>Quantum</b> Cryptography Is the Next Cybersecurity Front
JAKARTA — post-quantum cryptography is no longer a niche security term; it is now the frontline defense as global cybersecurity faces an old sci-fi fear made real by quantum computers paired with artificial intelligence. A report cited from Danviet.vn portrays the race as already underway, not as a warning for some far-off future. The stakes are huge. Not just corporate data. Government documents, logistics systems, financial transactions, and military communications all lean on encryption that has long been treated as dependable. Why global cybersecurity suddenly feels urgent The core problem is simple, even if the fallout is not. Quantum machines calculate in ways normal computers do not. At a certain point, that advantage could strip modern asymmetric encryption algorithms, including RSA-2048, of their strength. For years, digital security has rested on a basic assumption: breaking an encryption key should take an absurdly long time. Very long. The report says the combination of generative AI and quantum technology could shrink a process that once took billions of years into just a few seconds. If that scenario comes true, data vaults that look safe today could turn into open archives. All at once. That is why defense officials and cyber experts are speaking in much sharper terms than usual. Pentagon officials have even called quantum computing an “existential threat” to national security in a 25-page report discussed by the source. The phrase sounds extreme, but the message is plain: old defenses will not be enough. The most dangerous tactic: harvest now, decrypt later What worries analysts most is not the moment commercial quantum computers finally reach the market. The threat already in motion comes from a tactic known as “harvest now, decrypt later.” It works quietly. Suspected state-backed hackers collect as much encrypted data as possible today. Petabytes are pulled from government
Researchers Models Deformed Polaron-Molecule Hamiltonian For <b>Quantum</b>-Gravity Phenomenology
Ezequiel Valero and colleagues at the University of Valencia demonstrate that many-body observables exhibit significant sensitivity to ultraviolet (UV) deformations originating from generalised-uncertainty-principle and modified-dispersion-relation theories, even at accessible energy scales. They constructed a deformed polaron-molecule Hamiltonian, carefully preserving the infrared sector, to quantify the impact of these deformations on both spectral and Ramsey observables and subsequently implemented the corresponding quantum dynamics utilising a quantum computing platform. The study identifies specific regimes proximate to the polaron-molecule crossover where even minute UV deformations are sharply amplified, potentially leading to measurable alterations in quasiparticle properties and spectral response, and reports experimental validation performed on the QRed superconducting quantum processor. These findings provide a defined pathway for investigating low-energy quantum-gravity phenomenology within a controlled many-body system and delineate the limits of the effective description employed. Ultraviolet Sensitivity Amplified via Polaron-Molecule Hamiltonian Manipulation A tenfold enhancement in the sensitivity of impurity many-body observables to ultraviolet deformations has been achieved by teams from CNS and Universidade Europeia, exceeding previous limitations imposed by the Planck scale, which typically necessitates energies on the order of 1019 GeV for direct observation of quantum gravity effects. This amplified sensitivity, realised through precise manipulation of a deformed polaron-molecule Hamiltonian, facilitates the exploration of quantum-gravity phenomenology at energies now within the realm of experimental feasibility. Previously, detecting such subtle effects demanded energies far exceeding current technological capabilities, rendering direct observation impractical. The polaron-molecule Hamiltonian describes a system where an impurity atom interacts with a surrounding medium, exhibiting characteristics of both a localized polaron and a delocalized molecule, providing a tunable platform for investigating many-body physics. The QRed superconducting quantum processor successfully validated these findings, establishing a novel pathway to investigate low-energy quantum gravity and rigorously define the boundaries of effective theoretical descriptions. Small ultraviolet deformations were amplified in regimes near the
<b>Quantum</b> Zeitgeist Weekly Digest
Welcome to this week’s quantum technology digest. The past seven days brought substantial activity across multiple facets of the field, from hardware development and error correction to policy shifts and commercial deployment. Several announcements signal a clear push toward building practical, fault-tolerant quantum computers. This week’s news includes major investments from both the US Department of Energy and French PROQCIMA program, alongside significant progress from companies like IBM, IQM, and QuEra in error mitigation and qubit scaling. We also see increasing emphasis on the practical side of quantum computing, with Oak Ridge prioritizing compilation and China Telecom offering cloud access to a large-scale photonic system. The diversity of these developments—spanning basic research grants, private investment, and national policy—demonstrates a maturing quantum landscape. Attention is shifting from theoretical possibility toward tangible engineering challenges and real-world applications. 1. IBM’s Qiskit Paulice Detects Errors During Quantum Circuit Execution IBM has released Qiskit Paulice, a new add-on for its open-source Qiskit framework, to detect quantum errors as they occur within circuits. This tool employs spacetime Pauli checks, verifying errors across qubits and at specific times, reducing the qubit overhead common in traditional error correction. By pinpointing when errors happen and filtering results accordingly, Qiskit Paulice offers a practical method for improving reliability on near-term quantum hardware while algorithm development continues. The approach balances error detection with minimizing additional noise through automated check placement. 2. DOE Launches Quantum Genesis: A 2028 Goal for Fault-Tolerant Computing The U.S. Department of Energy launched the Quantum Genesis initiative to build a fault-tolerant quantum computer by 2028. This program, stemming from a Trump-era Executive Order, will focus on applications in fields like chemistry and materials science. Quantum Genesis includes a competition to develop systems with hundreds of logical qubits and a national supercomputing facility offering access to multiple quantum
Accrington tech entrepreneur Ilyas Khan becomes billionaire
An Accrington tech entrepreneur who founded a quantum computing firm has become a billionaire after the company he founded went public on the US stock exchange. Ilyas Khan, 63, who helped save Accrington Stanley FC back in 2009, saw 'Quantinuum' valued at over $15.6 billion after it sold 28 million shares at $60 each on June 3. The shares opened at $58 per share on June 9, and Mr Khan, who owns around 15 per cent of the company, is now said to be worth $2.2bn (£1.6bn). Quantinuum, headquartered in Cambridge and also in Colorado, is the world's largest quantum computing company. He founded Cambridge Quantum Computing in 2014, which then rebranded as Quantinuum when it merged with the quantum business of the U.S. conglomerate Honeywell in 2021. Ilyas has retained the largest shareholding of any individual person. Posting on social media before the public offering, he said: "When I founded, almost exactly 12 years ago, Cambridge Quantum (that became Quantinuum after the business combination/merger with Honeywell Quantum Solutions in 2021), it was an adventure in conviction and trust. "That conviction and trust have grown and blossomed due to the hard work, commitment and support of my colleagues, my shareholders and my family." Ilyas's father was a bus driver, and he attended Haslingden Grammar School before completing a South Asian studies degree at London’s School of Oriental and African Studies. He moved to Hong Kong for work in 1989 and progressed up the career ladder, before deciding to set up his own banking company in 1998. Between 2015 and 2018, he served as chair of the Stephen Hawking Foundation. The listing of Quantinuum, which had also considered a float in London before choosing the Nasdaq, establishes him as one of the UK’s wealthiest tech entrepreneurs, reports The Times. Quantinuum was
Should Investors Buy Infleqtion to Ride the <b>Quantum Computing</b> Rally? | The Motley Fool
Quantum computing is still in its early innings, but if the technology reaches the potential that some see for it, the industry could mint many millionaires among its investors. Grand View Research projects that the quantum computing market will grow at a 22.3% compound annual rate through 2033, and Infleqtion (INFQ +6.57%) may be one of the best ways to get exposure to this opportunity. Its partnership with Nvidia shows that Infleqtion is a serious player Like most quantum computing pure plays, Infleqtion doesn't have much revenue to support its multibillion-dollar market cap. The company's top line was only $9.5 million in the first quarter, and it booked more than $30 million in net losses. NYSE: INFQ Key Data Points The company is developing quantum computers that should be able to solve highly complex problems that classical computers can't. Infleqtion has partnered with Nvidia (NVDA 1.42%) to integrate its neutral-atom quantum processing units with the tech giant's hardware and software, with the goal of driving the next era of high-performance computing. That partnership strengthens Infleqtion's reputation while also giving it access to more talent and capital. The combined technology will also be more convenient for AI data center operators to make use of, since it bridges quantum computing technology with the GPUs they already use, and therefore won't require a major overhaul. In other words, it will be easier to integrate Infleqtion's offerings into established AI infrastructure than the technologies of many of its competitors. The development of quantum computing is accelerating It's not just tech companies that are spearheading the push to quantum computing with investments and initiatives. The Trump administration recently issued an executive order for the government to develop policies that could accelerate quantum computing development in America. "The United States must take a cohesive, whole-of-government approach
Researchers Develops Density Matrix Propagation For Optimal Code Decoding
Researchers at Paris-Saclay University have developed a novel methodology for propagating the density matrix through simulated quantum memory experiments, enabling the determination of optimal decoding decisions for a range of syndrome histories. Anthony Benois and colleagues analysed the repetition code and a cellular automaton code, revealing crucial performance differences between decoders, particularly concerning belief propagation, when subjected to realistic circuit-level noise. The analysis quantifies the limitations inherent in commonly employed heuristic decoders and demonstrates that a limited number of syndrome histories dominate the logical error rate at low physical error rates. This provides a robust benchmark for evaluating quantum error correction decoders, addressing a vital challenge in the construction of fault-tolerant quantum computers. Density matrix propagation unlocks high-accuracy quantum error correction decoding Scientists at Paris-Saclay University have achieved a five-fold reduction in the discrepancy between theoretical and practical quantum error correction performance. Attaining a maximum-likelihood decoding accuracy of 99.9% for small codes, this level of precision was previously unattainable due to significant computational constraints. Their innovative method propagates the density matrix, a comprehensive mathematical description of a quantum system’s state, through simulated quantum memory. This allows for the precise determination of the optimal decoding decision for every possible error sequence, formerly known as a syndrome history. The density matrix, represented as a matrix describing the probabilities of all possible quantum states, is particularly suited to modelling the effects of noise and decoherence, which are inherent challenges in quantum computation. Propagating this matrix allows the researchers to track the evolution of the quantum state under the influence of errors, providing a complete picture of the error landscape. This detailed analysis revealed that, at low physical error rates, typically below 1%, representing increasingly stable quantum systems, less than 10% of all possible syndrome histories contribute significantly to the overall logical error rate.
Trump Signs Executive Order to Accelerate <b>Quantum Computer</b> R&D, Quantum Stocks Gain ...
Trump Signs Executive Order to Accelerate Quantum Computer R&D, Quantum Stocks Gain Attention, Which Quantum Computing Stocks Are Worth Buying? On June 22, the U.S. government launched an acceleration strategy for quantum computing, aiming to secure strategic leadership by 2028 and mandating a transition to post-quantum cryptography by 2030-2031. This policy framework, supported by significant federal investment, encourages R&D and supply chain resilience. While sectors like drug discovery and finance offer immense potential, the industry remains in early-stage development with high technical hurdles and capital costs. Key players include IonQ, IBM, Rigetti, and D-Wave. Investors should prioritize firms with clear commercialization paths and proprietary error-correction technology, while maintaining a long-term, diversified perspective due to inherent sector volatility. TradingKey - On June 22, Eastern Time, U.S. President Donald Trump signed two executive orders at the White House, officially launching the U.S. Quantum Computing Industry Acceleration Strategy, injecting strong momentum into the development of this frontier field and rapidly igniting capital market enthusiasm for quantum technology concept stocks. The core objective of this landmark policy initiative is to ensure the U.S. maintains its strategic leadership in global quantum technology competition and to build an end-to-end domestic quantum ecosystem. In the executive orders, Trump announced that the National Quantum Strategy would be updated, strengthening the foundation of America's quantum industry across multiple dimensions—including supply chain security, R&D, and talent cultivation—while deepening cooperation mechanisms with allies in the quantum field. So, in this White House-led technology push, which quantum computing stocks should be on our radar? Next, we will break down the underlying investment logic and key stock targets. Golden Window for Policy: What Signals Does Trump’s "Quantum Executive Order" Send? This policy not only injects strong momentum into the quantum computing sector, but also clearly signals the strategic resolve of the United States