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 […]
Some of the most exciting topics in modern physics, such as high-temperature superconductors and some proposals for quantum computers, come down to the exotic things that happen when these systems hover between two quantum states.
At the scale of individual atoms, physics gets weird. Researchers are working to reveal, harness, and control these strange quantum effects using quantum analog simulators — laboratory experiments that involve super-cooling tens to hundreds of atoms and probing them with finely tuned lasers and magnets.
The noisy intermediate-scale quantum devices enable the implementation of the Variational Quantum Circuit (VQC) for Quantum Neural Networks (QNN). Although the VQC-based QNN has succeeded in many machine learning tasks, the representation and generalization powers […]
Quantum computers promise significantly shorter computing times for complex problems. But there are still only a few quantum computers worldwide with a limited number of so-called qubits. However, quantum computer algorithms can already run on conventional servers that simulate a quantum computer. A team has succeeded in calculating the electron orbitals and their dynamic development using an example of a small molecule after a laser pulse excitation.
Scientists have presented an approach, ClusterVQE algorithm, to reduce quantum circuit complexity in VQE.
Clifford group lies at the core of quantum computation—it underlies quantum error correction, its elements can be used to perform magic state distillation and they form randomized benchmarking protocols, Clifford group is used to study […]