Oxford Earth Sciences & Cambridge secured a £1.2 million UKRI award, funding the SEQUIN project.
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Oxford Earth Sciences & Cambridge secured a £1.2 million UKRI award, funding the SEQUIN project.
memQ has been selected by DARPA to develop a quantum compiler, aiming to cut resource demands by 1,000x.
Caltech researchers developed a laser-based method for thin film growth, overcoming challenges with materials like niobium—crucial for.
Insider Brief PRESS RELEASE — Researchers in the UC Santa Barbara Materials Department have uncovered the elusive quantum mechanism by which energetic electrons break chemical bonds inside microelectr…
Insider Brief The majority of the readers encountering quantum computing through headlines come away with one of two impressions. Either a machine somewhere is about to break every password on the int…
Future-proof your privacy on World Quantum Day 2026 with a taste of the next generation of VPN encryption. TechRadar
arXiv:2604.15895v1 Announce Type: new Abstract: Flux-tunable superconducting qubits rely on fast flux control pulses to implement two-qubit entangling quantum gates, a key building block for quantum a…
arXiv:2604.15886v1 Announce Type: new Abstract: Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no fu…
arXiv:2604.15867v1 Announce Type: new Abstract: The Hadamard test is a standard quantum primitive for estimating inner products and expectation values, but in data-processing settings its practical ut…
arXiv:2604.15836v1 Announce Type: new Abstract: Semi-quantum signature (SQS) schemes aim to enable quantum signature functionality in scenarios where only a subset of participants possess full quantum…
arXiv:2604.15799v1 Announce Type: new Abstract: Enhanced local-excitation retention in atomic arrays allows to exploit cooperative radiative effects to suppress emission and prolong excited-state life…
arXiv:2604.15765v1 Announce Type: new Abstract: Classical simulation of quantum operations is essential for algorithm design, noise characterisation, and benchmarking of quantum hardware. The most gen…
arXiv:2604.15763v1 Announce Type: new Abstract: A broadband electromagnetic source is important for scientific and technological applications. Quantum vacuum fluctuations, which manifest most prominen…
arXiv:2604.15755v1 Announce Type: new Abstract: We demonstrate the use of two-photon excitation for observing the ground state optically detected magnetic resonance (ODMR) of nitrogen-vacancy centers …
arXiv:2604.15752v1 Announce Type: new Abstract: The geometry of quantum states has profound implications in quantum multiparameter estimation. While the Riemannian structure of quantum state space is …
arXiv:2604.15693v1 Announce Type: new Abstract: To study generator design for parameterized unitaries in quantum machine learning (QML), we propose an observable-guided generator selection algorithm f…
arXiv:2604.15666v1 Announce Type: new Abstract: Hybrid variational quantum algorithms are promising for solving practical problems, such as combinatorial optimization, quantum chemistry simulation, qu…
arXiv:2604.15626v1 Announce Type: new Abstract: We introduce a Hybrid Quantum Residual Network (HQRN) and establish an exact functional correspondence between its state evolution and the dynamics of c…
arXiv:2604.15616v1 Announce Type: new Abstract: We investigate quantum thermal state preparation algorithms based on system-bath interactions and uncover a surprising phenomenon in the weak-coupling r…
arXiv:2604.15605v1 Announce Type: new Abstract: The controlled generation of nonclassical light beyond single photons remains a central challenge in quantum optics, due to the difficulty of enhancing …
arXiv:2604.15604v1 Announce Type: new Abstract: The generation of high-performance nonclassical light remains a cornerstone of quantum technologies, yet faces a fundamental trade-off between emission …
arXiv:2604.15603v1 Announce Type: new Abstract: Current fault-tolerant quantum compilers allocate error budgets uniformly during resource estimation, causing suboptimal physical resource overhead. We …
arXiv:2604.15552v1 Announce Type: new Abstract: Group-equivariant quantum models are designed to exploit symmetry and can improve trainability, but it remains unclear how symmetry constraints shape th…
arXiv:2604.15540v1 Announce Type: new Abstract: Quantum systems may contain underlying correlations which are inaccessible to computationally bounded observers. We capture this distinction through a f…