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Showing 20 of 968 academic articles

Collective dynamics in holographic fractonic solids

Ling-Zheng Xia, Lixin Xu, Wei-Jia Li • Journal of High Energy Physics (2026)

Abstract Fractonic phases of matter, a class of states in which collective excitations with constrained mobility exist, were originally discovered in the study of quantum error-correcting codes in solvable lattice spin models such as Haah’s...

DOAJ Open Access (DOAJ) DOI: 10.1007/JHEP02(2026)089

Cyclic order superpositions enable quantum information transmission through completely depolarizing channels

Yaxin Wang, Linxiang Zhou, Tianfeng Feng, Hanlin Nie et al. • Communications Physics (2026)

Abstract Noise fundamentally limits quantum communication capacity, completely preventing information transmission in fully depolarizing environments. While indefinite causal order theoretically circumvents this limitation, experimentally r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s42005-026-02698-1

Quantum computing with neutral atoms

Loïc Henriet, Lucas Béguin, Adrien Signoles, Thierry Lahaye et al. • Quantum (2020)

The manipulation of neutral atoms by light is at the heart of countless scientific discoveries in the field of quantum physics in the last three decades. The level of control that has been achieved at the single particle level within arrays...

OPENALEX cc-by DOI: https://doi.org/10.22331/q-2020-09-21-327

Quantum Computing: Dream or Nightmare?

S. Haroche, J. M. Raimond • Physics Today (1996)

The principles of quantum computing were laid out about 15 years ago by computer scientists applying the superposition principle of quantum mechanics to computer operation. Quantum computing has recently become a hot topic in physics, with ...

OPENALEX DOI: https://doi.org/10.1063/1.881512

The future of quantum computing with superconducting qubits

Sergey B. Bravyi, Oliver Dial, Jay Gambetta, Darı́o Gil et al. • Journal of Applied Physics (2022)

For the first time in history, we are seeing a branching point in computing paradigms with the emergence of quantum processing units (QPUs). Extracting the full potential of computation and realizing quantum algorithms with a super-polynomi...

OPENALEX Open Access DOI: https://doi.org/10.1063/5.0082975

ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano et al. • Axioms (2024)

This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Ne...

DOAJ Open Access (DOAJ) DOI: 10.3390/axioms13030188

Cosmic muon flux attenuation methods for superconducting qubit experiments

Elia Bertoldo, Victor Pérez Sánchez, Maria Martínez, Manel Martínez et al. • New Journal of Physics (2025)

We propose and demonstrate two practical mitigation methods to attenuate the cosmic muon flux, compatible with experiments involving superconducting qubits: shallow underground sites and device orientation. Using a specifically-built cosmic...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/adaedc

Exploiting subspace constraints and ab initio variational methods for quantum chemistry

Cica Gustiani, Richard Meister, Simon C Benjamin • New Journal of Physics (2023)

Variational methods offer a highly promising route to exploiting quantum computers for chemistry tasks. Here we employ methods described in a sister paper to the present report, entitled exploring ab initio machine synthesis of quantum circ...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/ace182

Quantum Computing for Everyone

Chris Bernhardt • The MIT Press eBooks (2019)

An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader. Quantum computing is a beautiful fusion of quantum physics and computer sci...

OPENALEX DOI: https://doi.org/10.7551/mitpress/11860.001.0001

Quantum Computing since Democritus

Scott Aaronson • Cambridge University Press eBooks (2013)

Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book cov...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511979309

Quantum computing: a gentle introduction

• Choice Reviews Online (2011)

The combination of two of the twentieth centurys most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processin...

OPENALEX DOI: https://doi.org/10.5860/choice.49-0911

Quantum Computing for Computer Scientists

Noson S. Yanofsky, Mirco A. Mannucci • Cambridge University Press eBooks (2008)

The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511813887

Quantum circuit simulation of superchannels

Kai Wang, Dong-Sheng Wang • New Journal of Physics (2023)

Quantum simulation is one of the central discipline to demonstrate the power of quantum computing. In recent years, the theoretical framework of quantum superchannels has been developed and applied widely as the extension of quantum channel...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/acc5aa

Magnetic field reconstruction from proton radiography via physics-guided out-of-distribution filtering

Chun-Sung Jao, Chiung-Yin Chang, Kun-Han Lee, Hsiao-Hsuan Lin et al. • APL Machine Learning (2026)

Reconstructing multidimensional vector fields from path-integrated projection data is a fundamental challenge in high-energy-density physics, particularly when experimental sources exhibit spectral broadening and shot-to-shot jitter. We pre...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0331075