OQTOPUS is a groundbreaking open-source quantum computing operating system created collaboratively by Japanese institutions, offering comprehensive customization from setup to execution while significantly reducing implementation complexity, thus making quantum computing more accessible to a broader range of users and accelerating its practical adoption.
A research team has achieved a breakthrough in quantum communication by implementing an eight-dimensional quantum superdense coding protocol on a 16-mode photonic chip, demonstrating an unprecedented channel capacity exceeding 3 bits through the generation of high-fidelity entangled quDit states and efficient Bell state measurements that distinguish eleven orthogonal states, significantly outperforming classical communication limits.
Stochastic Quantum Signal Processing integrates randomized compiling into quantum signal processing to achieve quadratic error suppression (ϵ → O(ϵ²)), reducing query complexity by nearly half across multiple quantum algorithms including Hamiltonian simulation, phase estimation, ground state preparation, and matrix inversion.
Researchers from the Quantum Internet Alliance have created QNodeOS, the first operating system for quantum networks, which abstracts hardware complexity to enable easier development of quantum networking applications across different hardware platforms, marking a crucial step toward making quantum internet technology accessible and practical.
The Quantum Zeno Monte Carlo algorithm bridges the gap between noisy intermediate-scale quantum and fault-tolerant quantum computing eras by offering polynomial computational complexity and resilience to both device noise and Trotter errors without requiring initial state overlap or variational parameters, as demonstrated on IBM’s NISQ devices with up to 12 qubits.
Quantum convolutional neural networks successfully identify known quantum many-body scars with over 99% accuracy in simulations and 63% on IBM quantum hardware, while also discovering new non-thermal states that can be characterized as spin-wave modes of specific quasiparticles in complex quantum systems.
The research introduces lossy quantum dimension reduction for stochastic process sampling that compresses memory requirements beyond current quantum and classical approaches while maintaining high-fidelity approximations for both Markovian and non-Markovian processes, with applications across numerous scientific fields.
Researchers developed and experimentally validated a neural network-based protocol that can efficiently measure quantum entanglement in large systems (up to 100 qubits) using only local measurements, while also predicting future entanglement dynamics beyond the measurement window.
Researchers have developed a framework to split quantum circuits into smaller parallel components, allowing quantum computers to solve optimization problems larger than their available qubit count while maintaining solution quality through a global optimization approach.
This research demonstrates a Contextual Subspace Variational Quantum Eigensolver on superconducting hardware that successfully models N₂ molecular bond-breaking with superior accuracy to single-reference wavefunction techniques, achieved through comprehensive error mitigation strategies and circuit optimization while requiring fewer quantum resources than comparable classical approaches.
Scientists have introduced a new EACC scheme capable of correcting a fixed number of erasures/errors. It can be adjusted to the available amount of entanglement and sends classical information over a quantum channel.
Researchers have developed a groundbreaking method enabling quantum computers to switch between different error correction codes during computation, overcoming a fundamental limitation in quantum computing where no single code can efficiently perform all necessary operations while maintaining error protection.
Researchers have studied an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates.
Researchers have developed a simulation algorithm for distillation circuits with per-gate complexity of O(1) , drastically faster than O(N) Clifford simulators or O(2N) wavefunction simulators over N qubits.
MIT researchers achieved a groundbreaking 99.998% single-qubit fidelity in quantum computing through innovative fluxonium qubit control techniques, combining commensurate pulses and synthetic circularly polarized light to overcome counter-rotating errors, marking a crucial advancement toward practical quantum error correction and fault-tolerant quantum computing.
Quantum walks represent a revolutionary quantum computing paradigm that surpasses classical computational methods by leveraging fundamental quantum phenomena like superposition, interference, and entanglement. This technology has been comprehensively analyzed in recent research from China’s National […]
Legitimate quantum operations must adhere to principles of quantum mechanics, particularly the requirements of complete positivity and trace preservation. Yet, non-completely positive maps, especially Hermitian-preserving maps, play a crucial role in quantum information science. Researchers […]
This paper improves and demonstrates the usefulness of the first quantized plane-wave algorithms for the quantum simulation of electronic structure. The researchers describe their quantum algorithm for first quantized simulation that accurately includes pseudopotentials. They […]
The landscape of scientific research is rapidly transforming through groundbreaking advancements in artificial intelligence and quantum computing, with recent developments promising revolutionary impacts across multiple disciplines. The Nobel Prize in Chemistry has recognized the pivotal […]
Quantum computing represents a revolutionary frontier in computational technology, promising unprecedented computational power. However, the field has long grappled with significant technical challenges that have limited its practical implementation. This research introduces an innovative hybrid […]
Scientists are developing innovative ways to benchmark the potential of quantum computing in solving complex scientific problems, particularly in understanding material systems. The research, led by physicist Giuseppe Carleo at the Swiss Federal Institute of Technology, introduces a novel approach to comparing classical and quantum computational methods for tackling challenging physics problems.
npj Quantum Information, Published online: 20 November 2024; doi:10.1038/s41534-024-00908-8 In this paper, scientists proved a lower bound on the soundness of quantum locally testable codes under the distance balancing construction of Evra et al. Their […]
Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for comparing quantum algorithms and identifying which quantum […]
Researchers have demonstrated that quantum bits (qubits) can directly transfer between quantum computer microchips and demonstrated this with record-breaking connection speed and accuracy. This breakthrough resolves a major challenge in building quantum computers large and powerful enough to tackle complex problems that are of critical importance to society.
Fault-tolerant cluster states form the basis for scalable measurement-based quantum computation. Recently, new stabilizer codes for scalable circuit-based quantum computation have been introduced that have very high thresholds under biased noise where the qubit predominantly […]