No-frills tech news

Quantinuum to Report Second Quarter Financial Results on August 11, 2026

Broomfield, CO July 22, 2026 — Quantinuum, Inc. (NASDAQ:QNT), a leading quantum computing company, today announced the recent appointments of Robin Schulman as Chief Legal Officer (CLO) and Company Secretary, effective July 13, 2026, and Rory O’Byrne as Chief People Officer (CPO), effective May 26, 2026. Ms. Schulman and Mr. O’Byrne both report to Quantinuum’s President and CEO Rajeeb Hazra. “As Quantinuum enters an exciting new chapter as a publicly listed company, we are pleased to welcome Robin and Rory to our leadership team," said Dr. Rajeeb Hazra, President and CEO of Quantinuum. “Both Robin and Rory are highly accomplished leaders who bring deep experience guiding technology companies through periods of transformation. Their proven track records of building high-performing organizations and world-class functions will provide an invaluable benefit to Quantinuum as we continue to scale our business and the commercialization of quantum computing accelerates.” Ms. Schulman joins Quantinuum with more than two decades of legal and executive leadership experience guiding high-growth technology companies through periods of rapid expansion, strategic transformation, and public company evolution, with a track record of translating strategy into execution and building the foundations for sustainable growth. Most recently, Ms. Schulman served as Chief Legal Officer and Head of Corporate Affairs at GitLab, where she spent nearly seven years leading the company's global legal, compliance, policy, competition, intellectual property, corporate development, sustainability and privacy strategy. Prior to that, she was the Chief Legal Officer at Couchbase and New Relic and held senior leadership positions at Adobe Inc. "Quantinuum sits at a fascinating intersection of groundbreaking science and real-world commercial impact, and I could not be more excited to join the team at this important moment in the company’s journey,” said Robin Schulman, Chief Legal Officer and Company Secretary of Quantinuum. “I look forward to partnering with Raj,

Pittsburgh Supercomputing Center To Build Supercomputer That Puts <b>Quantum Computing</b> ...

Pittsburgh Supercomputing Center To Build Supercomputer That Puts Quantum Computing to the Test NSF-funded TangleLab will give researchers and students hands-on access to a hybrid quantum-classical system Media Inquiries A new hybrid quantum-classical computing platform led by the Pittsburgh Supercomputing Center(opens in new window) (PSC) will help researchers understand what the supercomputer of the future may look like. Supported by a $5 million grant from the U.S. National Science Foundation (NSF), in partnership with Hewlett Packard Enterprise (HPE) and Rigetti Computing, TangleLab will serve as a national testbed where researchers and educators can investigate how quantum computing technologies can be integrated with high-performance computing systems to advance scientific discovery and shape the next generation of cyberinfrastructure. "Carnegie Mellon has long been at the forefront of advances in computing, and through the Pittsburgh Supercomputing Center we continue to invest in the infrastructure that enables the next generation of discovery,” said Theresa Mayer(opens in new window), vice president for research. “TangleLab creates a national platform where researchers can explore how quantum and classical computing work together, helping define the future of scientific computing while preparing the workforce that will bring these technologies into practice." Today's most powerful supercomputers already combine multiple types of processors to accelerate scientific workloads. As quantum technologies mature, researchers anticipate that quantum processors will become another specialized resource within these heterogeneous computing environments. TangleLab will provide one of the nation's first open platforms for investigating how these systems should be designed, programmed, managed and optimized. “TangleLab continues PSC’s long tradition of making next-generation computing technologies accessible to the broader research and education community,” said Barr von Oehsen(opens in new window), PSC’s executive director and principal investigator for TangleLab. “Through our partnership with HPE and Rigetti, we are giving scientists, students and educators hands-on access to an integrated quantum-classical

<b>Quantum</b> Annealers Deliver Value Today, but Gate-Based Enterprise Breakthroughs ...

Quantum Annealers Deliver Value Today, but Gate-Based Enterprise Breakthroughs Remain Years Away, Finds Info-Tech Research Group As interest in quantum computing grows, many organizations face challenges in determining where the technology can deliver tangible business value. New insights from Info-Tech Research Group show that current applications remain concentrated in scientific exploration and highly complex optimization problems, while uncertainty around use cases and timelines continues to make investment decisions difficult. The firm's recently published blueprint, Identify and Evaluate Quantum Computing Use Cases, outlines a structured framework to help CIOs and CTOs assess feasibility, prioritize opportunities, and prepare for future advancements. ARLINGTON, Va., July 27, 2026 /PRNewswire/ -- Quantum computing continues to attract significant investment from governments, technology vendors, and research institutions, yet many organizations remain uncertain about where the technology can deliver meaningful business value. While advances in quantum hardware continue, identifying practical enterprise use cases and determining when organizations should invest remain significant challenges. To help CIOs and IT leaders make informed decisions, Info-Tech Research Group, a global IT research and advisory firm, has published its new blueprint, Identify and Evaluate Quantum Computing Use Cases, providing a practical framework to evaluate quantum opportunities based on business value, technical feasibility, and organizational readiness. Though gate-based quantum computing is often positioned as the next major breakthrough in enterprise technology, Info-Tech's blueprint findings suggest that widespread enterprise value from it remains years away, with a few exceptions. The firm notes that while AI has scaled rapidly across industries, quantum computing is expected to deliver value across a much narrower set of highly complex problems. "Some people view quantum computing as the next AI, but that comparison doesn't really hold up," says Brian Jackson, principal research director at Info-Tech Research Group. "Quantum computing is far more specialized and harder to implement. But for the

Explicit Block-Encodings Solve Biharmonic Equations On <b>Quantum Computers</b>

Researchers have developed new quantum techniques to solve biharmonic equations, a challenging class of fourth-order partial differential equations that arise in fields from fluid dynamics to materials science. The work addresses a key limitation of discretizing these equations in high dimensions, where the number of unknowns grows rapidly and can lead to ill-conditioning. Chuwen Ma and Zihao Tang, of East China Normal University and Shanghai Jiao Tong University, constructed explicit block-encodings tailored to periodic, simply supported, and Dirichlet, Neumann boundary conditions, resulting in augmented Poisson systems with condition-number scaling characteristic of second-order operators. For periodic boundaries, the team constructed an explicit diagonal block-encoding of an augmented Poisson matrix, achieving a condition number scaling that improves upon direct inversion of the squared Fourier Laplacian. Under simply supported conditions, the researchers leveraged the quantum discrete sine transform to diagonalize the finite-difference Laplacian, constructing a block-encoding with condition-number scaling similar to that of a second-order operator. This approach, detailed in their recent paper, establishes mesh-independent stability and offers a pathway toward more efficient quantum solutions for complex physical models. QSVT, VTAA Algorithms for Biharmonic Equations The ability to efficiently solve fourth-order partial differential equations is crucial across diverse fields, and researchers are now leveraging quantum computing to tackle these notoriously difficult problems. Their work details how Fourier and sine-transform diagonalizations, applied to periodic and simply supported biharmonic problems, yield augmented Poisson systems exhibiting a condition number scaling characteristic of second-order operators, a potentially substantial efficiency gain. The team also addressed the complexities of Dirichlet, Neumann boundary conditions, introducing a second-order boundary-corrected finite-difference discretization. Crucially, they established mesh-independent stability, ensuring the solution remains reliable regardless of the discretization grid used. This stability allowed for the construction of an explicit block-encoding for the resulting nonsymmetric matrix, a key step towards realizing a quantum solution. The

Log-Law Scaling Of Entanglement Confirmed On <b>Quantum Computer</b>

Researchers have, for the first time, demonstrated log-law scaling of subsystem entanglement entropies at criticality on a digital quantum computer. The work, performed using a fully-connected trapped-ion quantum computer, combines the multiscale entanglement renormalization ansatz (MERA) with a holographic scheme for subsystem tomography. This methodological pairing allows for accurate representation of infinite systems and long-range correlations with a limited number of qubits. The team observed a quantum phase transition exhibiting spontaneous symmetry breaking, revealing the evolution of entanglement properties across the critical point; this achievement highlights the potential of MERA for investigating strongly-correlated many-body systems on quantum computers. Thomas Barthel, Marko Cetina, Qiang Miao, Tianyi Wang, and Kenneth R. Brown of Duke Quantum Center, Duke University, Durham, North Carolina, USA led the research. The team’s approach accurately represents infinite systems and long-range correlations using a relatively small number of qubits, addressing the finite-size effects that typically plague studies of quantum phase transitions. The researchers were able to demonstrate this observation, which confirms a key theoretical prediction regarding the behavior of entanglement near a quantum critical point and validates the efficacy of their combined MERA and tomography scheme. Support for this work came from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, and Quantum Systems Accelerator, highlighting the national investment in advancing quantum simulation capabilities. Researchers are now leveraging a fully-connected trapped-ion quantum computer to overcome longstanding challenges in simulating complex quantum systems; most quantum computers do not feature full connectivity, making this setup particularly noteworthy for its precision and control. This work addresses the difficulty of investigating strongly-correlated quantum matter, a field hampered by the curse of dimensionality and intricate entanglement. This methodological pairing enabled the efficient extraction of observables and entanglement properties, even at criticality, a feat previously limited by finite-size effects and

IQM <b>Quantum Computers</b> Oyj American Depositary Shares (IQMX) Cash Flow

You can access the annual and quarterly cash flow statements of IQM Quantum Computers Oyj American Depositary Shares to evaluate its financial soundness and stability. Quarterly Quarterly+Annual Quarterly Annual YOY Hide blank rows FY2026Q1 Operating cash flows (indirect method) Cash flow from continuing operating activities ---239.34K Net income from continuing operations --1.22M Other non-cash items ---1.46M Change in working capital --435.00 -Change in prepaid expenses --40.49K Cash from non-recurring investing activities Cash from operating activities ---239.34K Investing cash flow Cash from non-current investing activities Financing cash flow Net cash from non-recurrent financing activities Net cash flow Beginning cash balance --1.08M Current period cash flow changes ---239.34K Ending cash balance --838.49K Currency unit --USD Audit opinions ---- FAQs What is operating cash flow? Operating cash flow is the cash generated or used by a company's core business operations. It adjusts net income for non-cash items and working capital changes, such as depreciation, receivables, inventory, and payables. Strong operating cash flow can indicate that the business is converting sales and earnings into real cash. How Much Operating Cash Flow Did IQM Quantum Computers Oyj American Depositary Shares Generate? IQM Quantum Computers Oyj American Depositary Shares generated 14.83K in operating cash flow in fiscal 2025, reflecting cash generated from its core business operations. What is investing cash flow? Investing cash flow shows cash used for or generated from investment-related activities, such as capital expenditures, purchases or sales of investments, acquisitions, and asset disposals. Negative investing cash flow is not always bad, because it can reflect spending on future growth, but investors should check whether those investments support long-term returns. What is financing cash flow? Financing cash flow shows how a company raises capital or returns capital to investors and creditors. It can include debt issuance, debt repayment, share issuance, share repurchases, dividend payments,

AI Will Never Break <b>Quantum Computers</b>

About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features NFL Sunday Ticket © 2026 Google LLC

Emerging Risks to Watch: <b>Quantum Computing</b>, Data Center Buildout, and Peptides

Emerging risks rarely arrive fully formed. They evolve at the edges of innovation, where opportunity and uncertainty intersect. Advances in areas like quantum computing, AI infrastructure, and treatment therapy are reshaping industries with remarkable speed, but they are also introducing new and often underappreciated exposures. For insurers, the challenge is not simply to track these developments but to understand how they may translate into real-world risks across operations, liability, and systemic disruption. A Coming Quantum Leap? While much of the world appears focused on AI, another potentially revolutionary technological innovation is hovering just over the horizon: quantum computing. Unlike traditional or “classical” computers, which encode information into bits that are either in one of two positions (on/off, or 1/0), quantum computers encode information into quantum bits, or “qubits,” which can exist in a superposition of multiple positions. Qubits can encode more information than classical bits and may be able to perform computations that classical computers either can’t or would take impractical time to complete. Although we presently do not have quantum computers that can perform the full range of the technology’s anticipated capabilities, there is an active–albeit nascent–quantum computing industry that generated an estimated $1.45 billion in revenue in 2024 and is projected to grow to $2.2 billion by 2027. The industry remains relatively novel, but several large facilities are being constructed to house new quantum computers. While we may be years away from a robust quantum computer, potential P/C exposures may arise in connection with today’s quantum computing industry. These may range from commercial inland marine risks associated with the transportation of high-value quantum computing equipment to potential litigation risks related to the statements and disclosures made by directors and officers in the quantum computing supply chain. Even farther beyond the horizon lies a more remote but potentially significant

Preparing for Security in the <b>Quantum Computer</b> Era… Terra Quantum and ApexAI ...

As quantum computing technology advances rapidly, changes are expected in the security of currently widely used cryptographic systems. Consequently, the introduction of Post-Quantum Cryptography (PQC) is emerging as a new challenge for long-term operational vehicles, robots, industrial equipment, and defense systems, as it enables preparation for future security threats while maintaining existing software structures. Quantum technology company Terra Quantum and software-defined vehicle and intelligent machine software company Apex.AI announced that they have implemented a secure communication environment between robot software and the cloud by applying post-quantum cryptography standardized by the National Institute of Standards and Technology (NIST). The existing system remains the same… only post-quantum cryptography is applied Through this collaboration, the two companies verified that software-defined vehicles, connected robots, and defense systems can apply quantum-resistant security without altering existing communication methods or distributed software architectures. The joint solution combines Terra Quantum's post-quantum cryptography technology with Apex.AI's Apex.OS. Based on NIST standard post-quantum cryptography algorithms, it supports secure communication between the edge and the cloud and is designed to maintain existing applications and communication workflows. The two companies explained that this approach is characterized by its ability to implement quantum-resistant security without operational interruption while protecting a company's existing software investments. This means that the security level of long-term connected systems can be enhanced by simply replacing vulnerable cryptographic technologies, without the need for a separate, large-scale system redesign. The need for the introduction of post-quantum cryptography is also growing. Concerns have been raised that currently used public-key-based cryptographic algorithms could be decrypted once quantum computers with sufficient performance capabilities emerge. Consequently, there is an increasing demand to transition security systems starting now for long-term operational systems, such as software-defined vehicles (SDVs), autonomous driving systems, industrial robots, manufacturing equipment, aerospace, and defense. This solution is designed for application across various

Privi Speciality Chemicals Limited (NSE:PRIVISCL) Passed Our Checks, And It's About To ...

Privi Speciality Chemicals Limited (NSE:PRIVISCL) Passed Our Checks, And It's About To Pay A ₹10.00 Dividend Some investors rely on dividends for growing their wealth, and if you're one of those dividend sleuths, you might be intrigued to know that Privi Speciality Chemicals Limited (NSE:PRIVISCL) is about to go ex-dividend in just three days. The ex-dividend date is commonly two business days before the record date, which is the cut-off date for shareholders to be present on the company's books to be eligible for a dividend payment. The ex-dividend date is an important date to be aware of as any purchase of the stock made on or after this date might mean a late settlement that doesn't show on the record date. Meaning, you will need to purchase Privi Speciality Chemicals' shares before the 31st of July to receive the dividend, which will be paid on the 6th of September. The company's next dividend payment will be ₹10.00 per share. Last year, in total, the company distributed ₹10.00 to shareholders. Last year's total dividend payments show that Privi Speciality Chemicals has a trailing yield of 0.3% on the current share price of ₹3595.20. If you buy this business for its dividend, you should have an idea of whether Privi Speciality Chemicals's dividend is reliable and sustainable. That's why we should always check whether the dividend payments appear sustainable, and if the company is growing. Dividends are typically paid from company earnings. If a company pays more in dividends than it earned in profit, then the dividend could be unsustainable. Privi Speciality Chemicals has a low and conservative payout ratio of just 12% of its income after tax. Yet cash flows are even more important than profits for assessing a dividend, so we need to see if the company generated enough

Can <b>quantum computing</b> make AI better at designing cancer vaccines? A scientist explains

Could the next breakthrough in cancer treatment come from combining artificial intelligence (AI) with quantum computing? Researchers at the Technical University of Denmark (DTU) have taken an early step by using a photonic quantum computer to improve how an AI model designs peptides, which help the immune system recognise diseased or infected cells. A quantum computer differs from a normal or classical computer mainly in the way it is built and operates. While the latter uses bits (basic unit of classical information) that are either 0 or 1, a quantum computer uses qubits (fundamental unit of quantum information) that can be both at the same time. A photonic quantum computer uses individual light particles, or photons, as qubits to encode and process information. The DTU’s proof-of-concept study (real-world feasibility test), which is awaiting peer review, confirmed through laboratory tests that the AI-designed peptides could successfully bind to human leukocyte antigen (HLA) molecules present on a cell’s surface — a critical first step in triggering an immune response. Timothy Patrick Jenkins, corresponding author of the study, told The Indian Express that while the technology is still far from clinical use, it could eventually help scientists develop more personalised cancer vaccines and other immune-based therapies. Peptides are short chains of amino acids, the building blocks of proteins. In immunology, they matter because cells display peptides on their surface, allowing your immune system to inspect them and decide what is healthy and what is foreign. Many vaccines work by showing the immune system the right peptide and training it to respond. The human leukocyte antigen (HLA) proteins, sitting on the surface of almost all your cells, are the immune molecules. They act like a display shelf, grabbing short peptides from inside the cell and holding them up on the surface so patrolling immune

Coinbase CEO says bitcoin not under immediate <b>quantum</b> threat but preparations should speed up

Bitcoin is not facing a threat that quantum computers can break through immediately, but the industry should start preparing from now, an argument has emerged. On July 26, blockchain outlet U.Today reported that Coinbase Chief Executive Brian Armstrong (브라이언 암스트롱) disclosed the launch of the "Bitcoin Security Consortium" along with that position. The group lists major industry participants including Coinbase, BlackRock, Fidelity Digital Assets, Block, Blockstream and Strategy. Its aim is to support the long-term security of the bitcoin network and build an industry cooperation system in case sufficiently powerful quantum computers become a reality. Armstrong said on X, formerly Twitter, that "quantum computing will not pose an immediate threat to bitcoin." He added that "the cryptocurrency industry should start preparing now." He judged that the future transition process is a bigger task than the current risk. Coinbase also presented its own response roadmap. The exchange said it is developing a quantum-resistant version of its key management system, "PQ-CoreKMS". An internal committee that reviewed responses to quantum technology had high confidence that fault-tolerant quantum computers could eventually be built, but effectively concluded the threat is not imminent. Coinbase pointed to the real issue as a large-scale migration of a decentralised network. It said the key task is coordinating a secure migration on a blockchain connected to millions of users. Networks that operate on consensus like bitcoin do not complete a transition simply by preparing security technology. Broad consensus is needed, including migrating user addresses, changing signature systems and discussing protocol revisions. For these reasons, Coinbase plans to hold joint working sessions from August with Bitcoin Core developers, cryptographers and researchers. The company said it will start discussions on migration strategies and provide engineering resources and funding for that purpose. The background is also clear. The U.S. National Institute of Standards

Cardano Co-Founder Charles Hoskinson Claims Bitcoin Dominance Could Be At Risk Over ...

Charles Hoskinson, co-founder of Cardano, has indicated that Bitcoin may not hold onto its position as the leading cryptocurrency indefinitely if its governance structure cannot effectively manage the challenges of quantum computing. Speaking in a recent live interview, he framed the potential vulnerability as rooted more in decision-making processes than in the technology alone. Hoskinson noted that Bitcoin has demonstrated resilience against numerous external pressures throughout its history, including the departure of its anonymous creator. He characterized quantum computing as simply the next significant test the network will face. However, he cautioned that if the system’s governance makes substantial upgrades impractical or requires concessions that weaken Bitcoin’s core appeal, it may no longer remain the top cryptocurrency by market standing.He described Bitcoin as essentially fixed in its current form, with meaningful alterations proving extremely hard to implement. This inflexibility, according to Hoskinson, contributed to early motivations for developing other platforms that retained Bitcoin’s foundational ideals while allowing for evolution. He presented Cardano as one such effort—a kind of spiritual continuation that seeks to resolve certain practical constraints Satoshi Nakamoto may not have fully navigated at the time due to available expertise or resources. In discussing preparedness, Hoskinson contrasted approaches. He explained that Cardano’s on-chain governance would permit community voting and subsequent protocol-level actions to handle any necessary shift away from quantum-vulnerable elements. He also referenced an ambitious forthcoming upgrade for Cardano expected to deliver major performance gains, underscoring the need for active management during large-scale changes. The remarks come as the broader cryptocurrency sector pays closer attention to long-term cryptographic risks. While practical quantum computers capable of breaking widely used encryption remain years away, questions about coordinated network responses are gaining prominence. Bitcoin’s traditionally conservative development process prioritizes broad consensus and minimal disruption, which supporters credit for its stability as

Forget IonQ, Rigetti <b>Computing</b>, and D-Wave <b>Quantum</b>. This Trillion-Dollar ...

Quantum computing represents a fundamental shift from classical systems, which process data using binary bits that exist as zeros or ones in underlying codebases. Quantum machines use qubits, which possess a property called superposition -- allowing them to evaluate vast numbers of possibilities simultaneously. This capability holds particular promise for artificial intelligence (AI), where quantum computers could deliver faster answers to complex optimization problems, enhance machine learning, and simulate molecular interactions, among many other uses. According to McKinsey & Company, quantum computing could add up to $2.7 trillion of value to the global economy by 2035, underscoring the scale of the opportunity as this technology matures from laboratory curiosity toward practical utility. What are the most popular quantum computing stocks? IonQ (IONQ -3.61%), Rigetti Computing (RGTI -4.71%), and D-Wave Quantum (QBTS +0.00%) are the primary publicly traded pure-play companies focused on quantum computing hardware and services. IonQ employs trapped-ion qubits in its quantum systems, which aim to improve AI models and create better data for research purposes. Meanwhile, Rigetti uses superconducting qubits to build quantum computers that customers can leverage with existing AI-native tools. Both IonQ and Rigetti offer access to their platforms through cloud-based environments, seeking integrations with infrastructure providers like Microsoft Azure, Amazon Web Services, and Google Cloud. D-Wave has primarily focused on a niche technology called quantum annealing that is only useful for solving optimization problems and sampling problems. However, those types of problems include a host of real-world applications in areas like logistics, finance, and drug discovery. Across these companies, technology remains heavily research-oriented. While commercial systems and cloud access are expanding, they are still years away from delivering enterprise-grade fault-tolerant machines capable of providing a measurable quantum advantage. Analyzing the financial realities of quantum pure plays Though they are all generating some revenues and receiving

US company develops technology to store light particles at room temperature for <b>quantum computing</b>

Technology developed by Photon Queue uses optical switches and mirrors to keep photons circulating until the moment of calculation, works at room temperature, and received £4 million to advance research in quantum computing and photonics. Photon Queue announced an initial round of £4 million to advance the development of a quantum memory capable of temporarily storing photons and synchronizing operations of quantum computers and networks at room temperature. Quantum memory seeks to solve synchronization problem The technology developed by Photon Queue aims to control the moment when light particles reach different components of a quantum system. Synchronization is considered an important problem because photons travel quickly and do not naturally remain stationary. In light-based quantum systems, photons can carry information between processors and connect different equipment. They are also used to distribute quantum entanglement, perform measurements, and trigger operations. - Scientists have finally tracked where the carbon that disappeared from the atmosphere over the last 60 million years went, and the answer was buried at the bottom of the sea, in a cycle that functioned as a natural thermostat for the planet. - Promising to shoot down 30 mosquitoes per second with a beam that locates the insect in 3 milliseconds and avoids people and pets, a Chinese startup raised $2.7 million from over 4,000 backers for the laser device even before manufacturing it. - Helicopters crossed the sky for five days to drop more than 900 whole trees into 5.6 km of river, build 90 huge log walls, and transform the current into pools and hideouts capable of providing shelter for salmon and trout. - Americans want to use radioactive brine on the roads Certain calculations require different photons to arrive together at the same location. If one particle appears before the others, the system needs to temporarily store

Technical University Of Munich Team Presents Analytical Generators For Multi-Qubit ...

Analytical generators for multi-qubit controlled gates now enable more accurate simulation of quantum circuits. Richard M. Milbradt and Christian B. Mendl of Technical University of Munich present closed-form equations for generating Hamiltonians applicable to gates with multiple control and target qubits, and arbitrary control conditions. This capability extends simulations beyond the ideal gate model, enabling the incorporation of realistic noise factors such as decoherence. The equations offer a more accurate representation of quantum computer behaviour, as demonstrated by modelling the interaction between a harmonic oscillator and two qubits during a controlled NOT gate operation. Analytical generators enhance multi-qubit simulation incorporating decoherence and noise Technical University of Munich scientists have achieved a four-fold improvement in simulating quantum circuits by incorporating realistic disturbances, surpassing traditional methods limited to ideal conditions. Accurately modelling decoherence and noise, the gradual loss of quantum information, was previously impossible within standard gate-based simulations. Now, these new analytical generators enable direct inclusion of these imperfections. The team derived mathematical expressions for the generators of multi-qubit controlled gates, notably finding that H[C1X] equals π/4 multiplied by (1 −Z) ⊗(1 −X). Modelling a controlled NOT gate interacting with a harmonic oscillator opens avenues for simulating quantum systems coupled to external, non-qubit systems. A method for simulating quantum circuits with improved realism has been demonstrated by the team at University of Munich, achieving a four-fold increase in simulation capability. The researchers derived mathematical expressions, termed analytical generators, for multi-qubit controlled gates. The generator for a controlled NOT gate acting on two qubits was found to be proportional to the product of (1 −Z) and (1 −X). This analytical approach allows direct inclusion of decoherence and noise, the loss of quantum information, within simulations, a significant limitation previously. Successfully modelling a controlled NOT gate interacting with a harmonic oscillator represents a step

US firm advances room-temperature tech to store light particles for <b>quantum computing</b>

US firm advances room-temperature tech to store light particles for quantum computing The $4M seed round will help Photon Queue expand quantum memory systems for computing and communications. Read Next: US chip maker forms South Korean alliance to advance next-gen power conversionQuantum technology company Photon Queue has announced that its latest round of seed funding has reached £4 million. These funds will, the company explains, be used to superboost its research into quantum computing and photonics. Photon Queue is building a system that can temporarily hold particles of light (photons) so that different parts of a quantum computer or quantum network can work together at the right moment. That sounds simple, but timing is a serious problem in quantum systems. In most photon-based quantum systems today, light particles are used to carry information between different processors. Photons are also used to connect separate quantum systems. Light is also used to distribute entanglement, and perform measurements or trigger operations. All well and good, but photons travel extremely fast and don’t naturally wait around. Holding photons for better quantum calculations This is potentially a problem if these photons need to arrive together at a place for a particular calculation. To solve this, the system needs a kind of “photon memory” or waiting area to ensure a calculation can be completed. This is exactly what Photon Queue is attempting to create. In simple terms, the company is developing something that receives a photon and then uses an optical switch to direct it into a path bounded by highly reflective mirrors. This keeps the photon circulating around a path until such time as it is needed for a particular calculation. A bit like a holding pattern is used for aircraft waiting to land at an overly busy airport. More from Innovation See AllThis is