Explainable AI Achieves 83.5% Accuracy with Quantized Active Ingredients and Boltzmann Machines
A novel hybrid quantum-classical artificial intelligence framework, utilising quantum Boltzmann machines, demonstrates significantly improved classification accuracy and more transparent decision-making compared to traditional classical models, as evidenced by an 83.
Robust Quantum Machine Learning Achieves Increased Accuracy on MNIST and FMNIST Datasets
Researchers have developed a new method of encoding classical data for quantum machine learning using matrix product states, resulting in a robust and accurate encoding that improves resilience against adversarial attacks and demonstrates promising performance on image classification tasks.
D-Wave Completes Acquisition of Quantum Circuits Inc, Making It Now Annealing + Gate
D-Wave completed the acquisition of Quantum Circuits Inc., establishing itself as the world’s leading quantum computing company. This acquisition accelerates D-Wave’s development of a dual-platform approach, offering both annealing and error-corrected gate-model quantum computing systems.
Rigetti Secures $8.4M Order for 108-Qubit Quantum Computer with C-DAC
Rigetti Computing has secured an $8.4 million order to deliver a 108-qubit quantum computer to C-DAC, India’s R&D organization. The system, utilizing Rigetti’s chiplet-based architecture, will be installed at C-DAC’s Bengaluru center and deployed in the second half of 2026.
Quantum Random Number Generator Achieves 10σ Contextuality Violation On-Chip
An integrated photonic system generating truly random numbers at a rate of over 21 bits per second has been demonstrated, certified by exceeding a classical limit in a quantum randomness test without relying on entanglement.
Reentrant Topological Phases Achieves Universal Class Invariance in Moire-Modulated SSH Model
Research into the patterned interference of moiré materials has revealed a predictable relationship between a material’s internal structure and its external properties during reentrant phase transitions, offering new insights into the behaviour of one-dimensional condensed matter systems.
Db Signal Boost Achieved by Mitigating Nonlinear Transduction Noise in Cavity Optomechanics
By employing a novel nonlinear transformation, researchers have successfully eliminated thermal noise in a microcavity system, achieving a tenfold improvement in the precision of displacement measurements and paving the way for more sensitive room-temperature optomechanical devices.
Qubit Fidelity Achieves Improvement Despite Phase Noise Via Numerical Simulations
Increasingly precise quantum computations are threatened by subtle fluctuations in the radio waves used to control qubits, as new research demonstrates how these ‘phase noise’ imperfections degrade the accuracy of complex quantum operations through detailed simulations of qubit behaviour.
Entanglement Distillation Reliability Function Achieves Exact Finite Blocklength Results
Researchers have determined that the efficiency of entanglement distillation , a process for enhancing quantum connections , is fundamentally limited by a measure called the regularized Hoeffding divergence, even when the initial quantum state is unknown, and have...
Counterdiabatic Driving Achieves Minimal Transitions for Random-Gap Landau-Zener Systems
Researchers have developed a single, tunable control field capable of simultaneously minimising transitions across a range of energy gaps in systems exhibiting Landau-Zener behaviour, demonstrating a predictable trade-off between maintaining adiabaticity and suppressing overall transitions.
Double Markovity Advances Quantum Systems with Four-Party State Analysis
Researchers have demonstrated new mathematical relationships governing multi-particle quantum states, paving the way for more efficient methods of determining the limits of quantum communication and computation.
Learning States From Circular and Gaussian Ensembles Achieves Average-Case Hardness
Researchers have demonstrated that determining the probability distributions of quantum states originating from common ensembles , circular and Gaussian , is computationally difficult, establishing a fundamental limit to learning these states and refining understanding of random quantum circuits.
Entanglement Entropy Advances Understanding of Root-Deformed AdS/CFT in Three-Dimensional Space
Research demonstrates that altering the geometry of theoretical boundaries impacts the measurable entanglement between particles, offering new understanding of how complex systems behave in three-dimensional space.
Nanoscale Tuning Achieves Superconductivity in YBCO Thin Films with Sub-Micrometer Precision
Researchers have developed a laser-based technique to precisely control oxygen levels within yttrium barium copper oxide films, enabling the creation of nanoscale patterns with tailored superconducting properties for potential use in advanced electronic devices.
Exponentially Improved Multiphoton Interference Benchmarking Advances Quantum Technology Scalability
Researchers have developed a new method for verifying the uniformity of multiple quantum particles, achieving a significant reduction in the resources needed compared to previous techniques and paving the way for more scalable quantum technologies.
X Speedup Achieved with Parallelized Variational Quantum Eigensolver on Multi-GPU System
A newly optimised quantum algorithm, utilising four NVIDIA H100 GPUs, has achieved a 117-fold speedup in calculating the potential energy surface of the hydrogen molecule, reducing processing time from almost ten minutes to just five seconds and paving the way...
Topology-Aware Block Coordinate Descent Achieves Faster Qubit Frequency Calibration for Superconducting Quantum Processors
A new calibration technique for superconducting quantum processors, based on a travelling salesman problem approach to qubit ordering, significantly reduces the time needed to optimise performance without compromising accuracy, even with noisy measurements.
Heisenberg-Limited Hamiltonian Learning Achieves Optimal Scaling with Static Single-Qubit Fields
A new technique allows precise determination of a system’s properties using only static magnetic fields, achieving optimal precision without the need for complex operations susceptible to error, and opening avenues for improved sensing and device characterisation.
Constant-Depth Unitary Preparation Achieves Exact Dicke States with Polynomial Ancillae
Researchers have developed new quantum circuits, utilising globally connected quantum bits, that can create complex Dicke states , essential for advanced communication and computation , in a single step, bypassing previous limitations requiring multiple sequential operations.
Tantalum Nitride Nanowires Achieve 100x Heat Transfer Improvement with Integrated Heatsinking
Tantalum nitride nanowires integrated with copper heatsinks demonstrate a hundredfold increase in heat dissipation, paving the way for significantly faster and more efficient superconducting detectors.
Giant Quantum States with 180 Photons Achieved Via Principles of Optics in Fock Space
Researchers have demonstrated the manipulation of up to 180 photons using a new framework , termed “Fock-space” , which treats photon number as a dimension analogous to space, enabling control over light in a way that could significantly...
Realistic Spin Qubit Simulations Enable Hardware Benchmarking and Mitigation of Noise
SpinPulse, a new open-source software package, allows researchers to realistically simulate the behaviour of spin qubit computers by modelling the complex physics and noise inherent in these emerging technologies, facilitating the development of more reliable quantum circuits.
Advances Coherence in Cos(2) Qubits by Balancing Charge and Flux Noise Trade-Offs
Research demonstrates that parity-protected qubits, despite suppressing single electron errors, are fundamentally limited by a trade-off between charge and flux noise, currently restricting coherence times to microseconds even with millisecond lifetimes.
Rabi-Driven Reset Achieves Fast Cooling of High-Q Cavity for Quantum Error Correction
Researchers have developed a new method, Rabi-Driven Reset, to rapidly and efficiently cool quantum memories using a resonant drive, achieving reset speeds over two orders of magnitude faster than previously possible and enabling practical quantum error correction.
Tapp Standard Enables Performance Portability for Tensor Operations with C-Based Interface
A new C-based interface, the Tensor Algebra Processing Primitives (TAPP), has been developed to standardise tensor operations, allowing applications to run efficiently on diverse hardware without relying on specific implementations.
Unit Fidelity Entangling Gates Achieved Via Continuous Dynamical Decoupling and Optimal Control
Combining continuous dynamical decoupling with a novel optimisation process enables the creation of highly accurate and robust quantum entanglement gates, even with imperfect control and noise.
Quantum Amplitude Amplification Achieves Optimal Solutions for Combinatorial Problems up to Size 40
Researchers have extended a quantum algorithm, demonstrating its ability to efficiently find optimal solutions to complex problems and validating its performance on both superconducting and trapped ion quantum computers through precise control of oracle parameters.
Non-Invertible Nielsen Circuits Advance 3d Ising Gravity Understanding with Fusion Graphs
Researchers have expanded the theory of circuit complexity to incorporate operations that cannot be reversed, enabling transitions between distinct quantum states and offering a new understanding of how complex systems evolve, potentially mirroring shock-wave behaviour in theoretical physics.
Finite Entropy Density Matrices Advance Understanding of AdS/CFT and Causal Diamonds
Recent research demonstrates that within de Sitter space, the number of physical states is finite, challenging previous assumptions about the emergence of a complete bulk field theory and establishing a fundamental limit to resolving distances smaller than the characteristic scale...
Topological Equivalence Principle Demonstrates Gravity’s Non-Perturbative Sensitivity Via Sums over Configurations
Research demonstrates that seemingly independent topological field theories are unexpectedly influenced by gravity, suggesting a fundamental constraint on the consistency of theoretical physics models attempting to reconcile gravity with quantum mechanics.
Quantum Key Distribution Security Framework Achieves Rigorous Phase-Error Estimation with Correlated Sources
A new mathematical framework enhances the security of quantum communication by accounting for correlations introduced by practical devices, extending the scope of existing security proofs to more closely reflect real-world conditions.
Bell-Type Test Achieves Nonclassical Latent Representation Detection in Autoencoders
Researchers have developed a new test, applicable to any neural network, that determines whether information processing within the system relies on principles beyond classical physics by examining the consistency of decoding statistics in a compressed representation of the data.
Geometry-Informed Quantum Computing Achieves Real-Time Control with FPGA Prototypes and Dataflow Graphs
This research presents a novel geometric framework connecting quantum states, circuits and measurement to deterministic classical processing, enabling the design of low-latency hybrid quantum systems and demonstrably optimising real-time error correction down to the hardware level.
Quantum Computing Achieves up to 10% Improvement with Novel LOTUS Optimisation Schedules
LOTUS, a new optimisation framework utilising a Hybrid Fourier-Autoregressive mapping, significantly improves the efficiency and performance of complex calculations by restructuring the search process and achieving up to a 10% improvement over existing methods while requiring substantially fewer computational steps.
Quantum Solver Achieves Efficient Solution of Single-Impurity Anderson Models with Particle-Hole Symmetry
A new computational method utilising quantum computing techniques successfully reconstructs the electronic structure of complex materials, offering a potential pathway to overcome limitations in simulating strongly correlated systems.
So3lr Force Field Achieves Unprecedented Accuracy Matching DFT for 23 Bio-Relevant Molecules
A new machine learning force field, SO3LR, accurately replicates high-level quantum mechanical simulations of biomolecular behaviour, offering a computationally efficient method to study complex protein dynamics and vibrational properties.
Electric Field Orientation Demonstrates Two-Photon Rydberg EIT Amplitude Variations
Researchers have demonstrated that analysing changes in the strength and frequency of light passing through a special gas can accurately measure the direction and intensity of static electric fields, potentially leading to new electrostatic field sensors.
QuProtect R3 Delivers Rapid Crypto-Agility for Cloud and On-Prem Environments
QuSecure announced a partnership with NFL legend Darren Sproles to launch a campaign highlighting speed, agility, and protection in cybersecurity. This collaboration showcases how QuProtect R3, the first end-to-end post-quantum security platform, mirrors Sproles’ on-field performance with its rapid cryptographic...
EeroQ Solves Quantum “Wire Problem,” Enabling Control of 1M Electrons
EeroQ has solved a significant challenge in quantum computing, known as the “wire problem,” by successfully transporting electrons over long distances on a chip with minimal error. This breakthrough utilizes a novel wiring architecture, enabling control of up to one...
WiMi’s LCQHNN Achieves High Performance with Four-Layer Quantum Circuit
WiMi Hologram Cloud has introduced a new Lean Classical-Quantum Hybrid Neural Network (LCQHNN) framework, designed to maximize learning efficiency with a minimized quantum circuit structure. This technology aims to bridge the gap between quantum neural network theory and practical application,...
Large Language Models Achieve 90% Success in Autonomous Quantum Simulation
Artificial intelligence agents powered by large language models have, for the first time, successfully performed complex tensor network simulations , a feat previously requiring specialist training , with nearly 90% accuracy.
Zero Curvature Achieves Optimal Two-Qubit Entanglement Via Hamiltonian Evolution
Research demonstrates that the most efficient quantum state transitions, moving from separable to maximally entangled states, exhibit straight-line pathways with no energy loss and a demonstrably greater initial degree of quantum nonlocality compared to less efficient transitions, particularly when starting...
Amera IoT Unveils Quantum-Proof Encryption Backed by 14 US Patents
Amera IoT announced AmeraKey® Encryption, a patented technology offering quantum-proof security for digital communications against current and future threats. Protected by 14 U.S. patents, this innovation uniquely secures data by eliminating the transmission of encryption keys or ciphertext.
BTQ Technologies Added to $524.5M VanEck Quantum Computing ETF
BTQ Technologies has been added to the $524.5 million VanEck Quantum Computing UCITS ETF, expanding European investor access to the quantum technology company. This inclusion highlights BTQ’s growth in quantum security and infrastructure, as the ETF focuses on companies advancing...
IEEE Study Unveils Robust Time-Bin Entanglement for Practical Quantum Communication
A new IEEE study demonstrates the reliable generation and distribution of quantum entanglement, essential for secure communication protocols like quantum key distribution. Researchers successfully achieved high-quality entanglement over a metropolitan network using readily available, off-the-shelf components, paving the way for...
NEXCOM Unveils Quantum-Resistant Platforms at MWC Barcelona 2026
NEXCOM will showcase expanded edge, security, and quantum-resistant innovations at MWC Barcelona 2026, presenting a portfolio for future-ready networks in telecom, enterprise, and industrial settings. Featured within the Taiwan Pavilion, NEXCOM’s technologies address challenges in secure, synchronized, and resilient networking.
Quantum Computing Inc. Secures $22M Stalking Horse Bid for Luminar Assets
Quantum Computing Inc. has submitted a $22 million stalking horse bid to acquire selected remaining assets from Luminar Technologies, as part of Luminar’s Chapter 11 process. This proposed transaction, subject to court approval and auction, aims to expand QCi’s photonics...
Stanford Researchers Develop Scalable Method for High-Quality Moire Superlattices
Stanford researchers have developed a new, scalable method for creating high-quality moiré superlattices from stacked 2D materials, overcoming previous limitations in size and reproducibility. This advancement enables the creation of larger samples, potentially benefiting the development of superconductors and quantum...
MicroCloud Hologram’s FPGA Achieves Efficient Quantum Simulation on Classical Hardware
MicroCloud Hologram Inc. has developed a hardware acceleration technology utilizing field programmable gate arrays (FPGA) to efficiently simulate quantum spin models on classical hardware. This innovation converts quantum tensor network algorithms into parallel computing circuits, offering a new approach for...
Larger Label Prediction Variance Demonstrated in Regression Quantum Neural Networks
Measuring only a portion of a quantum state’s information during quantum machine learning tasks increases prediction uncertainty because it limits the number of distinguishable outcomes the system can produce.