Papers
Live trends in quantum computing research, updated daily from arXiv.
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Defeating Barren Plateaus with Task-Aligned Symmetry
Ruipeng Xing, Yanan Li, Zhen Shang +3 more·Jul 13, 2026
Barren plateaus -- the exponential vanishing of gradients -- are a fundamental obstacle to training scalable quantum neural networks. Whether they arise in quantum recurrent neural networks (QRNNs), a natural architecture for sequential data, remains...
Molecular Docking with Quantum Circuit Evolution
Gleydson Fernandes de Jesus, Bruno Oziel Fernandez, Marcelo A. Moret·Jul 13, 2026
Molecular docking is an important step in drug discovery, enabling the evaluation of receptor-ligand affinity while reducing experimental costs and increasing the number of possible tests. However, the high computational cost associated with molecula...
HarmQ: Harmonic Backdoor Attacks Against Quantum Neural Networks
Junrui Zhang, Zemin Chen, Chunsheng Xin +2 more·Jul 13, 2026
Quantum Neural Networks (QNNs) have emerged as a promising paradigm for quantum machine learning in the Noisy Intermediate-Scale Quantum (NISQ) era, leveraging quantum phenomena such as superposition and entanglement to process information in exponen...
Entangling Power and Symmetries in the Quantum Rabi Model
Ian Low, Jens Koch, Sahel Ashhab·Jul 13, 2026
The quantum Rabi model is a standard effective Hamiltonian in studies of light-matter interaction, capturing the simplest nontrivial setting in which a qubit couples to a single harmonic oscillator. Within the broader Rabi family, we focus on two spe...
Observation of gravity-like signatures in holographic codes on a quantum computer
Debopriyo Biswas, Gong Cheng, Krishnanand Karthikeyan +12 more·Jul 13, 2026
The unification of quantum mechanics and general relativity remains one of the major open problems of theoretical physics. The Anti-de Sitter/Conformal Field Theory (AdS/CFT) correspondence provides a valuable theoretical framework for this effort vi...
Dissipative phase transitions and chaos in two-photon driven quantum optomechanics
Giovanni Bragadin, Filippo Ferrari, Lorenzo Fioroni +4 more·Jul 13, 2026
We investigate nonequilibrium criticality and chaos in a two-photon-driven optomechanical system. The parametric drive preserves a discrete $\mathbb{Z}_2$ symmetry of the optical field, while radiation-pressure coupling transfers the resulting nonlin...
Quantum magic and non-commutativity as computational resources in quantum reservoir computing
Wei Xia, Shuaifan Cao, Xingze Qiu +1 more·Jul 13, 2026
Quantum reservoir computing (QRC) provides a hardware-efficient paradigm for temporal information processing on near-term quantum devices. Despite rapid experimental progress, a rigorous understanding of the structural conditions required for its sca...
Quantum incompatibility of Born probabilities
Esteban Castro-Ruiz, Nathan Cohen, Luis C. Barbado +1 more·Jul 13, 2026
Quantum theory challenges the view that individual measurement outcomes are predefined and independent of the measurement context. Yet the quantum state itself -- the catalogue of probabilities for all possible measurements -- is usually assumed to b...
Strong-to-Weak Spontaneous Symmetry Breaking from Wormholes in Holography
Taishi Kawamoto, Kenya Tasuki, Masahito Yamazaki·Jul 13, 2026
We study strong-to-weak spontaneous symmetry breaking (SWSSB) at finite temperature and its implications in holography. SWSSB is a novel critical phenomenon that arises only in mixed states. We demonstrate SWSSB with the BTZ black hole and show that,...
Symmetry-Twisted Multi-Entropies: Order Parameters for 2D SPT Phases
Ramanjit Sohal, Michael Levin, Ruben Verresen·Jul 13, 2026
Although symmetry-protected topological phases (SPTs) can be distinguished by their entanglement properties, it has been unclear how to extract this information directly from expectation values beyond the 1D case. Here, we close this gap and propose ...
Remote Entanglement of Solid-State Spin Qubits Integrated in Broadband Waveguides
Christopher Waas, Timo Dolné, Hans K. C. Beukers +4 more·Jul 13, 2026
Solid-state spin-photon interfaces promise to scale quantum networks through on-chip photonic integration and multiplexed entanglement generation. To date, remote entanglement between integrated emitters has been realized only in cavity-enhanced syst...
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4 more·Jul 13, 2026
We propose an efficient algorithm based on shadow Hamiltonian simulation to approximately simulate the real-time dynamics of observables under time-independent Hamiltonians. Shadow Hamiltonian simulation works at the level of the operator algebra gen...
Paraparticles intrinsically exhibit Hardy-space breakdown
Kejun Liu·Jul 13, 2026
The memory kernel of an open quantum system obeys Kramers--Kronig (KK) relations if and only if its Laplace transform is analytic in the upper half-plane -- a property known as Hardy-space analyticity. Here we show that non-unitary exchange statistic...
Noise Resilience of Quantum Key Distribution Protocols Secured Against Independent Attacks With One-Way Communication
Adam Bílek, Ryszard Kukulski, Paulina Lewandowska +2 more·Jul 13, 2026
We investigate the resilience to noise of single-qubit quantum key distribution (QKD) protocols in the scenario of security against independent eavesdropping attacks and key distillation based on one-way classical communication. To this end, we intro...
Trotter error compensation with polylogarithmic precision and nested-commutator scaling without ancillas
Xinzhao Wang, Shuo Zhou, Ziruo Wang +5 more·Jul 13, 2026
Product formulas are among the most practical approaches to Hamiltonian simulation, requiring no ancillary qubits and exhibiting error bounds governed by nested commutators rather than only by Hamiltonian norms. Their circuit size, however, scales po...
Bounding Kirkwood-Dirac negativity of Gaussian processes
Luca Bianchi, Carlo Marconi, Riccardo Cioli +1 more·Jul 13, 2026
The Kirkwood-Dirac quasiprobability provides an operational representation of a quantum state, whose negativity serves as a measure of nonclassicality. Despite its fundamental importance, the extremal values of the Kirkwood-Dirac negativity are still...
Optimal tomography of bosonic and fermionic Gaussian states
Senrui Chen, Marco Fanizza, Filippo Girardi +4 more·Jul 13, 2026
The sample complexity is the minimum number of copies required to learn an accurate classical description of a quantum state. Bosonic and fermionic Gaussian quantum states are families of quantum states that play a key role in quantum science and tec...
Optimal operating temperature for industry-compatible silicon spin quantum computing: colder is not necessarily better
Paul Steinacker, Amanda E. Seedhouse, Nard Dumoulin Stuyck +22 more·Jul 13, 2026
Silicon spin qubits are a leading candidate for large-scale quantum computing owing to their compatibility with semiconductor manufacturing. However, scaling to useful fault-tolerant processors will likely generate thermal loads that exceed the cooli...
Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks
Junrui Zhang, Zemin Chen, Lusi Li +3 more·Jul 13, 2026
Quantum Neural Networks (QNNs) are a promising framework for quantum machine learning on near-term quantum devices, but their security risks remain insufficiently understood. Studies have shown that QNNs are vulnerable to backdoor attacks, yet existi...
Multiparameter Quantum Metrology in Molecular Dimers
Omar Bachain, Mohamed Amazioug, Rachid Ahl Laamara·Jul 13, 2026
We investigate multiparameter quantum estimation in a molecular dimer composed of two dipole--dipole interacting two-level systems, focusing on the simultaneous estimation of temperature $T$ and detuning $Λ$. By employing a vectorization approach to ...