Quantum Software Development: Qiskit, Cirq & Quantum Programming
Quantum programming news: Qiskit, Cirq, quantum SDKs, compilers. Quantum software stack & hybrid quantum-classical development.
Quantum software development bridges abstract quantum algorithms with physical hardware execution, requiring specialized programming frameworks, compilers, and hybrid classical-quantum orchestration.
Major programming frameworks include Qiskit (IBM) with 500,000+ users including substantial Indian participation; Cirq (Google); and PennyLane (Xanadu) for differentiable quantum programming.
India's Quantum Software Development Landscape
India's software development capabilities feature prominently in NQM plans. Tata Consultancy Services (TCS) partners with IBM to develop cloud-based interfaces and quantum algorithms. The DRDO-TIFR-TCS collaboration developed the cloud interface for India's 6-qubit superconducting quantum processor.
The NQM Thematic Hub at IISc Bengaluru develops quantum software including compilers, control electronics, and algorithm libraries. The Centre for Development of Advanced Computing (C-DAC) integrates quantum computing with India's high-performance computing infrastructure.
Educational institutions including IISc Bengaluru, IIT Delhi, and IIT Bombay offer quantum computing courses and certifications. The IISc Centre for Continuing Education provides a Certificate Programme in Quantum Computing and Artificial Intelligence with hands-on training in Qiskit and PennyLane.
quantum-computingBTQ Technologies: Quantum Dreams Meet A Very Hard Reality
Rubicon Research13 FollowersFollow5ShareSavePlay(12min)CommentsSummaryBTQ Technologies targets post-quantum cryptography with ambitious hardware, software, and network initiatives, but remains pre-revenue with escalating cash burn.BTQ’s Q1 2025 saw revenue drop to zero, expenses surge to $18.5M, and cash burn of $8M, leaving only 1-2 quarters of runway.Management flags an urgent need for substantial financing or commercialization, with dilution risk high as the company pursues multiple capital-intensive projects.I rate BTQ a sell, as the current valuation is speculative and unsupported by tangible financial or operational progress. imaginima/iStock via Getty Images Investment Thesis BTQ Technologies Corp. (BTQ) is one of the more interesting public quantum companies doing something akin to cybersecurity but for quantum computing. I do not believe the company is using "quantum" as a buzzword toThis article was written byRubicon Research13 FollowersFollowRubicon Research is an independent long/short equity analyst and investor who focuses on finding deep value and GARP in equities, as well as event-driven special situations. We practice a mix of expectation investing and gauging market psychology as the main tools for our investment decisions. A stock's price implies a certain expectation for the company. We take a long or short position when the expectation diverges too much from what we believe to be the fundamental value of a company.Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Short position through short-selling of the stock, or purchase of put options or similar derivatives in BTQ over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past perfo
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quantum-computingSuperpositions Studio Opens Access to Cloud-Based Quantum Experiments
Superpositions Studio has opened commercial access to its cloud-based quantum software platform, aiming to resolve a key challenge for finance and energy teams: determining if quantum computing delivers real value for their specific problems. As IBM, IonQ, IQM, and Rigetti expand qubit counts and cloud access, Superpositions provides the software layer needed to benchmark quantum experiments against established classical methods. The platform allows risk analysts, quants, and data scientists to describe problems in plain language, receiving a report without requiring quantum expertise. According to the company, this addresses a growing concern as finance professionals and energy teams feel pressure to understand the practical applications of quantum technology, with use cases at launch including portfolio optimization and wind/solar forecasting. Superpositions Studio: Platform Access and Pricing Details Superpositions Studio has launched commercial access to its cloud-based platform, designed to bridge the gap between rapidly advancing quantum hardware and demonstrable business value. The company aims to provide a clear answer to the question of whether quantum computing can outperform classical methods for specific workloads. This focus on practical application distinguishes the platform, as it delivers a clear assessment of results, rather than simply offering access to quantum processing units. The platform is particularly targeted at finance and energy sectors, where teams are increasingly feeling pressure to explore quantum computing without a clear understanding of its potential benefits; professionals in these fields are reportedly experiencing pressure due to announcements of quantum investment from major banks and pilot programs at grid operators. Critically, the platform does not shy away from highlighting instances where classical methods still outperform quantum approaches, stating that the goal is to provide teams with the data they need to make the rig
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quantum-computingFaster Quantum Control Achieved with Engineered Energy Dissipation
Scientists at Peking University and Hefei National Laboratory and University of Science and Technology of and Shanghai Institute and Wilczek Quantum Centre have developed a novel method to accelerate the preparation of quantum states, addressing a critical bottleneck in adiabatic quantum computation. Yuanyang Zhou and Biao Wu detail an engineered dissipative protocol that effectively mitigates the slowdown caused by nonadiabatic leakage near small spectral gaps. Their research demonstrates that employing a carefully designed ‘filtered reservoir’ to preferentially induce transitions towards lower energy states can substantially improve the runtime scaling for state preparation compared to standard closed-system behaviour, offering a potentially significant advantage for the implementation of complex quantum algorithms. Numerical simulations and a proposed superconducting-circuit implementation provide strong support for this advancement, representing a vital step towards more efficient and scalable quantum technologies. Engineered dissipation and filtered reservoirs enable faster adiabatic quantum computation Runtime scaling for adiabatic state preparation has been improved from O(∆−2) to O(∆−1) through the implementation of engineered dissipation, representing a substantial gain when the engineered relaxation strength exceeds the minimum spectral gap, denoted as ∆. Previously, nonadiabatic leakage, the unwanted escape of energy from the desired quantum state during the adiabatic process, severely limited computational speed, demanding impractically long runtimes for tackling complex problems. This new protocol actively manages this leakage, offering a significant improvement by continuously driving the system back towards the ground state. The core principle relies on manipulating the system’s interaction with its environment, moving away from the traditional paradigm of complete isolation. Adiabatic quantum computation functions by slowly evolving a quantum system
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quantum-computingOQC, JPMorganChase and AMD commence research collaboration to develop new quantum-AI platform in London
PRESS RELEASE OQC, JPMorganChase and AMD commence research collaboration to develop new quantum-AI platform in London Research integrates OQC GENESIS with AI and high-performance classical computing with JPMorganChase’s industry-leading quantum and AI R&D AMD to provide high-performance computing resources SHARE ARTICLE London, UK — 3 June 2026 — OQC, JPMorganChase and AMD today announced a research collaboration leveraging a new and dedicated Quantum-AI Data Centre, built by OQC in London. JPMorganChase researchers will test near-term quantum and hybrid quantum-classical computing applications via a secure enterprise environment to examine how quantum computing, AI and high-performance classical infrastructure can work together on complex financial services challenges. The partners will use the platform to conduct research on the application of near-term quantum and hybrid quantum-classical computing including areas such as portfolio optimization and expanding explorations around quantum machine learning, while also developing specialized AI models to improve quantum circuit performance. We also plan to investigate how these quantum-enhanced AI models can accelerate the discovery of novel algorithms purpose-built for financial use cases, and the role of classical compute towards scalable fault-tolerant quantum algorithms. JPMorganChase will be OQC’s first dedicated user of the UK platform, which is expected to be fully operational within 12 months. The environment will physically integrate the OQC GENESIS quantum system with AMD-supported AI and classical compute, high performance computing resources and application-level tooling, for simulation, optimisation, AI model development and benchmarking. AMD compute technologies will provide infrastructure to support the AI and classical compute layer of the platform. By placing quantum hardware inside a secure enterprise compute environment, the platform is designed to let JPMorganChase test hybrid quantum-classical
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quantum-computingInstabilities in a Non-KAM System via Information Scrambling: A Note
--> Quantum Physics arXiv:2606.12761 (quant-ph) [Submitted on 11 Jun 2026] Title:Instabilities in a Non-KAM System via Information Scrambling: A Note Authors:Naga Dileep Varikuti View a PDF of the paper titled Instabilities in a Non-KAM System via Information Scrambling: A Note, by Naga Dileep Varikuti View PDF HTML (experimental) Abstract:We study operator growth in quantized non-KAM systems using out-of-time-ordered correlators (OTOCs), focusing on the kicked harmonic oscillator as a representative example. Since the classical harmonic oscillator is degenerate, the dynamics fall outside the usual Kolmogorov-Arnold-Moser (KAM) framework, and resonances play a central role in shaping the phase space. We examine the system near resonances, where the ratio between the oscillator and driving frequencies takes integer values. Even though the classical Lyapunov exponent remains small at these points, and hence no conventional chaos, the phase space still undergoes strong structural changes. The OTOCs are particularly sensitive to these resonances, with a quadratic-in-time growth at resonance compared to linear growth away from it. Within a perturbative treatment, we derive closed-form expressions for the OTOCs and uncover a number-theoretic structure emerging in the behavior of OTOCs, governed by the Euler totient function of the frequency ratio. Overall, the results we present in this short note imply that resonant structures can play an important role in controlling information spreading. Comments: Subjects: Quantum Physics (quant-ph); Chaotic Dynamics (nlin.CD) Cite as: arXiv:2606.12761 [quant-ph] (or arXiv:2606.12761v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.12761 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Naga Dileep Varikuti [view email] [v1] Thu, 11 Jun 2026 00:00:05 UTC (238 KB) Full-text links: Access Paper: View a PDF of the paper titled Instabilities in a Non-KAM Syst
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quantum-computingUK Sets 10-Year Plan to Build Tech Capabilities
The United Kingdom has, for the first time, formalized a long-term strategy for its Digital and Technologies sector, addressing a previously absent component of the government’s Modern Industrial Strategy. Published as the plan demonstrates a commitment to sustained investment and policy over a 10-year timeframe, moving beyond shorter-term tech initiatives. This approach aims to establish the UK as a leading global hub for innovation and secure lasting economic prosperity through technological advancement. “Meeting today’s challenges demands an active, strategic state that partners with business to harness technological change and drives opportunity and growth,” states the document, outlining progress on initiatives like a new Sovereign AI fund and five recently announced Digital and Technologies Technical Excellence Colleges across the UK. Digital and Technologies Sector Plan: Year One Progress The United Kingdom has shifted its approach to technological advancement with the publication of its first long-term plan for the Digital and Technologies sector, a move signaling a departure from previous ad-hoc initiatives. This ten-year plan, detailed in the “Digital and Technologies Sector Plan: Year One Update,” is a documented commitment to tracking progress and ensuring accountability, as evidenced by this progress report. Beyond establishing a strategic framework, the government has allocated nearly £4 billion of research and development investment to frontier technologies through UK Research and Innovation (UKRI) until 2030, demonstrating a substantial financial commitment. This year’s update highlights several key achievements, including the expansion of the British Business Bank. The UK is positioning itself as a leader in emerging fields, committing up to £1 billion to procure large-scale quantum computers by the early 2030s and aiming to become the fastest adopter of AI within the G7. The launch of Sovereign AI, a £500 million venture fund with its first equity
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quantum-computingAlice & Bob Launches On-Premise “Helium Quantum System” for Cat-Qubit Research
Alice & Bob Launches On-Premise “Helium Quantum System” for Cat-Qubit Research Fault-tolerant hardware developer Alice & Bob has unveiled the Helium Quantum System, transitioning the company from chip-level manufacturing into delivering full-stack, on-premise quantum computing platforms. Operating on a noise-biased cat-qubit architecture, the integrated machine is engineered to encode the company’s first logical qubit using an array of 18 physical cat-qubits. The platform is intentionally opened to global research partners, national laboratories, and high-performance computing (HPC) centers to co-develop, benchmark, and optimize quantum error-correction (QEC) protocols in live operating environments. Hardware Topology, Co-Location Integration, and Operational Footprint The Helium architecture is constructed as a modular, upgradeable system designed to structurally support Alice & Bob’s upcoming 48-cat-qubit chip generation without requiring complete infrastructure replacement. To facilitate deployment within legacy supercomputing nodes, the system incorporates full compatibility with major classical HPC workload managers, such as Slurm, utilizing the open-source QRMI library. For programmatic interfacing, users control the chip via Alice & Bob’s native Felis software framework, which compiles custom, noise-biased instruction sets while maintaining cross-compatibility with mainstream quantum programming languages. Mechanically, the hardware reduces typical deployment barriers by operating on a modest power footprint of approximately 40 kW while maintaining strict facility tolerances, including a 18–25°C ambient temperature range, a 60 dB maximum acoustic noise threshold, and a 45–65% humidity envelope. The Starboard Automations Interface and Platform Roadmap Projection Coupled with the hardware launch, Alice & Bob introduced Starboard, a proprietary, highly automated system monitoring interface that grants site administrators real-time control ove
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quantum-computingIonQ’s 256-Qubit Chip Arrives at Horizon Quantum’s Dublin HQ
Horizon Quantum will install an IonQ 256-qubit system at its Dublin headquarters, establishing a system the company anticipates will be one of the most advanced commercial quantum systems globally. The move positions Ireland to play a prominent role in quantum computing by adding a second quantum computer testbed to the nation’s growing deep-tech infrastructure. Minister Peter Burke, from the Department of Enterprise, Tourism and Employment, welcomed the decision, stating this investment reinforces Ireland’s position in advanced technologies and aligns with Ireland’s National Semiconductor Strategy. By integrating the 256-qubit trapped-ion system with its software tools, Horizon Quantum intends to broaden support for diverse quantum hardware and accelerate the path toward practical quantum applications. This expansion beyond its initial Singapore headquarters signifies a deliberate strategy to build a hardware-agnostic testing environment, crucial for developing robust quantum software infrastructure. The Dublin installation will integrate with Horizon Quantum’s Triple Alpha integrated development environment, enhancing support for trapped-ion systems and bolstering the real-time capabilities of its quantum execution stack; the company aims to unlock quantum advantage through this software-hardware synergy. Horizon Quantum cites Ireland’s expanding quantum ecosystem, strong university network, and availability of skilled deep-tech talent as key factors in the decision. The arrival of this 256-qubit trapped-ion system represents a significant technology milestone for Ireland, positioning the nation to play an increasingly prominent role in quantum computing. This isn’t simply about attracting foreign investment; it’s about strategically building a domestic quantum capability and supply chain. Horizon Quantum anticipates expanding its Irish science and engineering teams to oversee the establishment and management of the new system, deepening engagement with local indu
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quantum-computingQ-DICE: Quantum Distributed Interconnect Compiler and Emulator
--> Quantum Physics arXiv:2606.11340 (quant-ph) [Submitted on 9 Jun 2026] Title:Q-DICE: Quantum Distributed Interconnect Compiler and Emulator Authors:Michael Silver, Zachary Vernec, Hans-Arno Jacobsen View a PDF of the paper titled Q-DICE: Quantum Distributed Interconnect Compiler and Emulator, by Michael Silver and 2 other authors View PDF HTML (experimental) Abstract:As distributed quantum computing (DQC) offers a leading path towards scalable quantum computation, the ability to benchmark distributed algorithms under realistic conditions becomes critical for system co-design. However, without access to physical systems, researchers lack tools to evaluate distribution protocols. We introduce Q-DICE (Quantum Distributed Interconnect Compiler and Emulator), a hardware-aware emulation environment for benchmarking distributed quantum circuits on classical simulators and on NISQ-era monolithic hardware. This work provides three core contributions: (1) a programmatic scheme to construct distributed QPU backends, utilizing two novel techniques - QPU slicing and stitching - to facilitate distributed circuit mapping, (2) a methodology for modeling nonlocal link noise using physically motivated Kraus operators and stochastic error channels, and (3) a boundary-aware circuit mapping algorithm enforcing distributed QPU topology constraints during transpilation. Together, these components constitute a distribution-aware compiler and noise-modeling engine that faithfully enforces the physical limitations of distributed quantum hardware within existing execution environments. We validate Q-DICE against a multitude of experimentally demonstrated quantum circuits, including a distributed Grover's search on optically linked trapped-ion hardware, achieving a worst-case fidelity deviation of 4% between simulated and experimental results. These findings demonstrate Q-DICE's capacity to accurately reproduce real distributed quantum system behavior across platforms, streamlining experime
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quantum-computingRolling Stock Planning Using the Quantum Approximate Optimization Algorithm
--> Quantum Physics arXiv:2606.11383 (quant-ph) [Submitted on 9 Jun 2026] Title:Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm Authors:Jiří Guth Jarkovský, Patricia Bickert, Elisabeth Wybo, Martin Leib View a PDF of the paper titled Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm, by Ji\v{r}\'i Guth Jarkovsk\'y and 3 other authors View PDF HTML (experimental) Abstract:Rolling stock planning is a complex optimization problem in railway management that involves assigning physical trains to scheduled trips while minimizing operational costs. In this work, we address a specific instance of this problem featuring 190 trips over two days, subject to constraints such as mandatory maintenance stops. We reformulate the problem as a Maximum-Weight Independent Set (MWIS) problem on a graph where nodes represent feasible train cycles. To handle the computational complexity of the large search space, we propose a hybrid divide-and-conquer algorithm. This approach iteratively selects subgraphs and solves the MWIS problem using various solvers, including exact classical methods and the Quantum Approximate Optimization Algorithm (QAOA). We evaluate the algorithm's performance by comparing these methods and analyzing the scaling with respect to subgraph size, with QAOA assessed through both classical simulation and execution on a quantum device (IQM Emerald). Our results indicate that increasing the subgraph size generally improves solution quality, demonstrating that the hybrid framework can effectively bridge the gap between polynomial-time approximate solvers and exponential-time exact methods. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.11383 [quant-ph] (or arXiv:2606.11383v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.11383 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jiří Guth Jarkovský [view email] [v1] Tue, 9
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quantum-computingIsotropic random walks and Brownian diffusion on complex projective space
--> Quantum Physics arXiv:2606.11438 (quant-ph) [Submitted on 9 Jun 2026] Title:Isotropic random walks and Brownian diffusion on complex projective space Authors:Gyula I. Tóth View a PDF of the paper titled Isotropic random walks and Brownian diffusion on complex projective space, by Gyula I. T\'oth View PDF HTML (experimental) Abstract:We show that isotropic random walks on the complex projective space provide a canonical and analytically tractable stochastic-geometric framework for the exploration of quantum-state space. The approach combines harmonic analysis on compact rank-one symmetric spaces with stochastic pure-state evolution and yields explicit analytical expressions for transition kernels, fidelity statistics, and geometric observables associated with the Fubini--Study metric. In particular, the framework provides a solvable reference model for isotropic depolarization and Haar equilibration, reproducing Haar-random fidelity statistics and the invariant measure on projective Hilbert space without specifying a microscopic Lindblad generator. In the short-time regime, the stochastic evolution converges to Brownian diffusion generated by the Fubini--Study Laplace--Beltrami operator, while the long-time limit exhibits concentration-of-measure behaviour characteristic of high-dimensional random quantum states. We further derive analytical and asymptotic results for the first-passage-time problem, including closed-form expressions in the Brownian limit for the mean first passage time and the long-time tail of the first-passage-time distribution. For high-fidelity target states, the mean first passage time exhibits a strong dimension-dependent divergence originating from the concentration properties of the Fubini--Study geometry. Subjects: Quantum Physics (quant-ph); Mathematical Physics (math-ph) Cite as: arXiv:2606.11438 [quant-ph] (or arXiv:2606.11438v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.11438 Focus to learn more ar
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quantum-computingSingle Photon Cross-Phase Shifts Can Be Enhanced by Localization in both Frequency and Time
--> Quantum Physics arXiv:2606.11516 (quant-ph) [Submitted on 9 Jun 2026] Title:Single Photon Cross-Phase Shifts Can Be Enhanced by Localization in both Frequency and Time Authors:Xinyu Jiao, Vida-Michelle Nixon, Kyle Thompson, Aephraim Steinberg View a PDF of the paper titled Single Photon Cross-Phase Shifts Can Be Enhanced by Localization in both Frequency and Time, by Xinyu Jiao and 2 other authors View PDF HTML (experimental) Abstract:Single-photon optical nonlinearities face a fundamental trade-off: maximum nonlinearity requires both spectral resonance (narrow bandwidth) and high peak intensity (short duration), constraints that are incompatible due to the time-energy uncertainty relation. We demonstrate experimentally that this limitation does not need to exist in cases involving post-selection. We measure a cross-phase shift (XPS) produced by a resonant photon from a narrow-band source that is first transmitted through a cold atomic cloud and then localized in time through detection. The peak size of this XPS is greatly enhanced compared to that of Gaussian single-photon-level pulses without post-selection, benefiting from the narrow bandwidth of the resonant prepared state and the high intensity of the post-selected state simultaneously. We measure enhancements in the peak XPS of 6$\pm$1 at an optical depth (OD) of 2.4$\pm$0.1, and our results are in qualitative agreement across a range of optical depths with the recently developed weak value theory of atomic excitation [Thompson et al., APL Quantum 2, 036108 (2025)] for such post-selected photons. This work uncovers new consequences of having simultaneous knowledge of frequency and time, raising new foundational questions about how a particle behaves, and interacts with other systems, when its preparation and post-selection are non-commuting. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.11516 [quant-ph] (or arXiv:2606.11516v1 [quant-ph] for this version) https://doi.org/10.48550/ar
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quantum-computingLocally Acting Grover Mixers for Constraint-Preserving QAOA
--> Quantum Physics arXiv:2606.11530 (quant-ph) [Submitted on 10 Jun 2026] Title:Locally Acting Grover Mixers for Constraint-Preserving QAOA Authors:Minjin Choi, Dongkeun Lee, Junghee Ryu View a PDF of the paper titled Locally Acting Grover Mixers for Constraint-Preserving QAOA, by Minjin Choi and Dongkeun Lee and Junghee Ryu View PDF HTML (experimental) Abstract:The Grover mixer quantum alternating operator ansatz (GM-QAOA) employs the Grover mixer to confine the quantum evolution to the feasible subspace defined by the problem. Its mixing unitary, however, requires a global multi-controlled phase-shift gate acting on all qubits, resulting in substantial circuit overhead on near-term quantum devices. In this work, we propose locally acting Grover mixers tailored to initial states that admit a product structure over disjoint qubit subsystems, which may be obtained by encoding only a subset of problem constraints into the initial state preparation. The proposed method preserves the search space defined by the initial state while significantly lowering implementation cost, as the global multi-controlled phase-shift gate is replaced with local operations on disjoint subsystems. Numerical simulations on the exact-cover problem and the traveling salesman problem (TSP) demonstrate that the proposed method achieves convergence behavior comparable to that of the original GM-QAOA, while using shallower circuits with fewer gates. We further compare two constraint encoding strategies for the TSP, encoding only a subset of constraints versus all constraints into the initial state preparation, and show that the former combined with the proposed mixer yields markedly more compact circuits at the point where comparable solution quality is achieved. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.11530 [quant-ph] (or arXiv:2606.11530v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.11530 Focus to learn more arXiv-issued DOI via Dat
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quantum-computingSuperspace Concentration and Adversarial Robustness in Quantum Algorithms
--> Quantum Physics arXiv:2606.11580 (quant-ph) [Submitted on 10 Jun 2026] Title:Superspace Concentration and Adversarial Robustness in Quantum Algorithms Authors:Eric Yocam, Christian Yocam, Varghese Vaidyan, Yong Wang, Mahesh Kalappattil, Anthony Rizi View a PDF of the paper titled Superspace Concentration and Adversarial Robustness in Quantum Algorithms, by Eric Yocam and 5 other authors View PDF HTML (experimental) Abstract:We study superspace concentration as a quantum resource, formalized through the focus measure F(\r{ho}) = {\lambda}_max(\r{ho}_super) - the largest eigenvalue of the reduced superspace state - which quantifies the capacity of a quantum system to concentrate informational weight into a preferred subspace of an extended degree-of-freedom space. We develop a complete resource-theoretic framework around this measure and validate its properties through GPU-accelerated numerical simulation. Analytic decoherence predictions are confirmed to machine precision (1.11 x 10^{-16}) for superspace dimensions dS in {2,4,8,16,32}. Focus monotonicity holds across 10,000 random states with zero violations under four focus-non-generating channels across six system configurations. Focused quantum states resist coherent unitary attacks with significantly greater resilience than standard fidelity predicts, with focus remaining above 0.9 at attack strength {\epsilon} = 0.302 versus {\epsilon} = 0.174 for fidelity. We further demonstrate that the focus measure and the U(dS)-asymmetry measure are operationally distinct: asymmetry remains near zero and provides no robustness signal under coherent and targeted attacks while focus tracks spectral concentration and remains robust until {\epsilon} > 0.3. The connection between Grover's algorithm and superspace concentration is made explicit via the identity F(|{\psi}_k><{\psi}_k|) = P(marked), providing a resource-theoretic interpretation of oracle query complexity. Finally, we provide the first numerical charact
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quantum-computingEmerging Architectures and Pipelines of Quantum Compilers
I’ve become increasingly aware of the transition towards more sophisticated internal representations while studying quantum compiler architectures, such that IRs are now being designed to represent entire quantum programs rather than circuits. So I decided to write an article laying out the current landscape of emerging architectures and the overall shift from static to dynamic execution models I'd love to get some feedback, and am especially interested in hearing thoughts or opinions from others working/interested in quantum software/compilers on whether we’re converging towards a truly hardware-agnostic compiler architecture or headed toward further fragmentation submitted by /u/Beginning_Nail261 [link] [comments]
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quantum-computingenQase to Showcase Quantum Security Leadership at Quantum.Tech World 2026
Insider Brief enQase will participate in Quantum.Tech World 2026, where it plans to showcase its quantum security and crypto-agility platform to enterprise and public sector organizations. The company will co-host a workshop on NIST post-quantum cryptography standards and migration strategies alongside a live technology demonstration during the event. enQase will present capabilities focused on cryptographic asset visibility, risk prioritization, compliance alignment, and quantum-safe migration planning. PRESS RELEASE — enQase, a pioneer in quantum security and crypto-agility solutions, today announced its participation in Quantum.Tech World 2026, taking place June 25-26 at Encore Boston Harbor in Boston, Massachusetts. The event brings together more than 1,000 quantum, AI, cybersecurity, government, and enterprise leaders to explore the future of quantum technologies and quantum security, and their impact on business and national security. At Quantum.Tech World, enQase will meet with and present to enterprise and public sector leaders seeking practical strategies to prepare for the quantum era. The company will highlight its patented full-stack approach to quantum security, helping organizations identify cryptographic risks, prioritize efforts, and build actionable blueprints for long-term resilience, including quick wins in the journey to compliant and quantum safe. Day 1, June 25th, kicks off at 7:45am with the unique, “Masterclass Workshop: NIST PQC Standards & Migrations to Quantum-safe and Crypto-agile,” featuring a leading expert on NIST PQC (Post-Quantum Cryptography) standards and quantum risk, along side enQase CEO Rajesh Patil. The session will provide a practical, vendor-neutral discussion of the threat landscape, the latest on NIST and other PQC standards and timelines, and how organizations are achieving quantum-safe and crypto-agile outcomes today, followed by a live audience Q&A. The workshop is followed by Peter Shor’s keyn
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quantum-computingAbsence of poor local minima in matrix product states
--> Quantum Physics arXiv:2606.09988 (quant-ph) [Submitted on 8 Jun 2026] Title:Absence of poor local minima in matrix product states Authors:Hao-Kai Zhang, Chenghong Zhu, Shuo Liu, Shi-Xin Zhang, Tao Xiang View a PDF of the paper titled Absence of poor local minima in matrix product states, by Hao-Kai Zhang and 4 other authors View PDF HTML (experimental) Abstract:Quantum circuits suffer from severe trainability issues: even shallow circuits are swamped with poor local minima. Yet matrix product states (MPS), which can be prepared by sequential circuits, are remarkably trainable in practice -- as demonstrated by decades of successful density matrix renormalization group calculations. In this work, we resolve this apparent paradox by proving that the energy landscapes of MPS are free from poor local minima, under the same setting where brickwork circuits are not. The key insight is that the gauge freedom of MPS creates an effective local overparametrization that causes local minima to concentrate near the global minimum, analogous to overparametrized classical neural networks. We rigorously prove that the local minimum distribution of the MPS energy landscape is invariant under moves of the orthogonality center. Numerical experiments further confirm that the optimization of sequential circuits converges to near-optimal solutions even for random Hamiltonians, in stark contrast to brickwork circuits. Our findings highlight the pivotal role of effective local overparametrization in determining trainability, providing a valuable guide for overcoming the trainability bottleneck of variational quantum algorithms. Comments: Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Strongly Correlated Electrons (cond-mat.str-el); Computational Physics (physics.comp-ph) Cite as: arXiv:2606.09988 [quant-ph] (or arXiv:2606.09988v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.09988 Focus to learn more arXiv
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quantum-computingKeyfactor Launches Trust Control Plane for Machine Identity and Post-Quantum Migration
Keyfactor Launches Trust Control Plane for Machine Identity and Post-Quantum Migration Identity and access management developer Keyfactor has launched its Trust Control Plane, a unified cryptographic operating platform designed to orchestrate machine identities, keys, and certificates across enterprise environments. Announced in a corporate briefing, the architecture consolidates fragmented cryptographic assets and legacy public key infrastructure (PKI) utilities into a single system of control. The deployment framework is engineered to address the operations bottleneck caused by proliferating non-human identities, shrinking public certificate lifespans, and the impending requirement to transition enterprise networks to quantum-resistant algorithms. The Lifecycle Automation Loop: Addressing AI-Driven Identity Sprawl The technological shift toward automated AI agents, ephemeral cloud workloads, and connected internet-of-things (IoT) devices has created an identity sprawl that outpaces manual oversight. To mitigate the risk of unplanned network outages stemming from untracked or expired certificates, Keyfactor’s platform replaces static, disconnected management spreadsheets with a continuous operational loop categorized into five distinct stages: Observe, Analyze, Provision, Orchestrate, and Govern. Under this automation pipeline, continuous network discovery tools map hidden risks across application code, containers, and network hardware, feeding real-time telemetry back into central policy engines to automatically renew or revoke active machine identities without interrupting active business lines. Building a Quantum-Resilient Foundation for Corporate Trust Infrastructure According to Chief Technology Officer Ted Shorter and Chief Product and Technology Officer Gün Akkor, the Trust Control Plane establishes an explicit migration pathway toward post-quantum cryptography (PQC) compliance. Traditional asymmetric encryption standards are increasingly vulnerable to futur
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quantum-computingKeyfactor Launches Trust Control Plane to Unify Digital Trust Across the Enterprise
Insider Brief Keyfactor has launched the Trust Control Plane, a platform designed to unify management of machine identities, cryptographic assets, and trust infrastructure. The platform aims to provide visibility, automation, and governance across enterprise environments as organizations face growing identity and cryptography challenges. Keyfactor positions the offering as a way to help organizations manage risks associated with AI adoption, shorter certificate lifespans, evolving regulations, and post-quantum security requirements. Image from Pexels by Nathan Thomas. PRESS RELEASE — Keyfactor, the leader in trust infrastructure for AI and machines, today announced the Trust Control Plane, a unified operating model for the machine identities and cryptography that secure every digital interaction. It brings together the tools enterprises use to manage cryptographic assets and infrastructure into one system, giving security teams continuous visibility, automated operations, and enforced governance across every environment. Trust infrastructure – the cryptographic identities, assets, and systems that secure every digital interaction – has become mission-critical. For decades, it was something you’d configure once and check only if it breaks. That era is over. AI agents, cloud workloads, and connected devices have multiplied machine identities far beyond what any team can track by hand. Certificate lifespans keep shrinking, standards keep shifting, and quantum computing threatens to break the algorithms protecting digital trust today. The cost lands on the business: outages from certificates no one was watching, audits that turn into fire drills, and no measurable path to quantum readiness. “Four forces are converging into a perfect storm – AI-driven identity sprawl, shrinking certificate lifespans, tightening regulation, and the post-quantum deadline,” said Ted Shorter, Chief Technology Officer, Keyfactor. “Any one of them strains the old model. Together, they bre
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quantum-computingHardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems
--> Quantum Physics arXiv:2606.07666 (quant-ph) [Submitted on 4 Jun 2026] Title:Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems Authors:Sumit Chongder (Indian Institute of Technology Jodhpur) View a PDF of the paper titled Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems, by Sumit Chongder (Indian Institute of Technology Jodhpur) View PDF HTML (experimental) Abstract:Noisy intermediate-scale quantum (NISQ) processors are entering an early fault-tolerance regime where full quantum error correction carries prohibitive resource costs, yet lightweight error detection can meaningfully improve algorithmic success rates. Existing compilation and error-detection toolchains treat these concerns in isolation, with no principled way to balance detection overhead against success probability under latency constraints. We present an integrated hardware-aware compilation and data-driven quantum error-detection (QED) framework that jointly optimises qubit mapping, SWAP insertion, and syndrome-schedule placement via a noise-weighted cost function and a learned multi-objective scheduler. Simulation experiments on an HPC cluster using GPU-accelerated density-matrix simulation (NVIDIA cuQuantum SDK) across VQE, phase-estimation, and Grover benchmarks, three noise profiles, and circuit sizes of 6-20 qubits (depths 10-160), show that joint co-design raises algorithmic success probability by up to 68 percent (95 percent CI: 60 percent to 76 percent) over SABRE on an 8-qubit VQE instance with post-selection. Comments: Subjects: Quantum Physics (quant-ph); Hardware Architecture (cs.AR); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG) MSC classes: 81P68 (Primary), 68Q12 (Secondary) ACM classes: C.1.4; D.3.4 Cite as: arXiv:2606.07666 [quant-ph] (or arXiv:2606.07666v1 [quant-ph] for this version) &nbs
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