New Method Reveals Quantum States Using Indirect Measurements of Particle Flows
A team from UNIGE shows that it is possible to determine the state of a quantum system from indirect measurements when it is coupled to its environment.
Quantum Threat to Bitcoin Looms, Timeline Uncertain
When would quantum computers be able to break Bitcoin? 🤔 Alex Pruden says “it's hard to project” but warns that things are moving fast 👇 #quantumcomputing #cryptography #blockchain
Quantum Fear Should Spur Bitcoin Fixes, Not Complacency
Bitcoin and the Quantum Threat: Think about the Year 2000 bug. Remember Y2K? It was a great example of the positive effects of over-worrying. I'm old enough to remember how everyone was talking about how the world is going to end...
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.
Shadow Tomography of GKP Logical Subsystems via Twirled Measurements
Chasing shadows with Gottesman-Kitaev-Preskill codes https://t.co/n2Ez7A6Ehz We explore a research question at the intersection of #quantumerrorcorrection and #quantumlearningtheory. Concretely, we consider the task of performing shadow tomography of a logical subsystem defined via the Gottesman-Kitaev-Preskill (#GKP) error correcting code. Our protocol does...
Pauli Twirling + Probabilistic Cancellation Boost NISQ Fidelity
Back in 2023, I gave a series of lectures at the Boulder Summer School on then-recent techniques we developed for error mitigation in NISQ devices, specifically how to combine Pauli twirling with probabilistic error cancellation to improve fidelity in noisy...
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.
Post‑Quantum Upgrade: Blockchains’ Biggest Technical Overhaul Yet
Implementing post-quantum cryptography will be the largest undertaking blockchains have ever embarked on, @apruden08 says Here's why 👇 https://t.co/nW5KQnpwni
Quantum Error Correction Defies Classical Intuition, Misconceptions Abound
One thing I didn’t fully appreciate early on while learning quantum error correction is just how far it can deviate from classical intuition. Along the way, I’ve run into some common misconceptions (which I still see often):
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.
UPM and Q*Bird Launch Spain’s First Multi-Node MDI-QKD Network in Madrid
The Universidad Politécnica de Madrid (UPM), in collaboration with Q*Bird, has officially deployed Spain’s first operational Measurement-Device-Independent Quantum Key Distribution (MDI-QKD) network. This multi-node infrastructure connects three distinct high-security sites: two locations within the Instituto Nacional de Técnica Aeroespacial (INTA)...
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...
Horizon Quantum and Alice & Bob Partner to Streamline Fault-Tolerant Software Development
Horizon Quantum Computing and Alice & Bob have announced a strategic collaboration to integrate their respective software and hardware capabilities, aimed at accelerating the deployment of fault-tolerant quantum computing (FTQC). The partnership centers on the integration of Alice & Bob’s...
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.
Building the World's First Open-Source Quantum Computer
Researchers from the University of Waterloo's Faculty of Science and the Institute for Quantum Computing (IQC) are prioritizing collaboration over competition to advance quantum computer development and the field of quantum information. They are doing this through Open Quantum Design...
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.
Stealth Quantum Sensors Unlock Possibilities Anywhere GPS Doesn't Work
As commercial interest in quantum technologies accelerates, entrepreneurial minds at the University of Waterloo are not waiting for opportunities—they are creating them.
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.
How Pointing Errors Impact Quantum Key Distribution Systems
Quantum key distribution (QKD) is an emerging communication technology that utilizes quantum mechanics principles to ensure highly secure communication between two parties. It enables the sender and receiver to generate a shared secret key over a channel that may be...
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.
What BTQ’s Bitcoin Quantum Testnet Reveals About “Old BTC” Risk
How BTQ’s Bitcoin-like quantum testnet highlights where post-quantum risks may emerge and why mitigation is an engineering challenge.
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.
Regional Quantum Development with Alejandra Y. Castillo
In this episode, Alejandra Y. Castillo explains how quantum technologies—already advancing in computing, sensing, and communications—can be leveraged for inclusive regional economic growth. She highlights the federal role in de‑risking early research through the CHIPS and Science Act and stresses...
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.