Papers
Live trends in quantum computing research, updated daily from arXiv.
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Faster Quantum Algorithm for Multiple Observables Estimation in Fermionic Problems
Yuki Koizumi, Kaito Wada, Wataru Mizukami +1 more·May 1, 2025
Achieving quantum advantage in efficiently estimating collective properties of quantum many-body systems remains a fundamental goal in quantum computing. While the quantum gradient estimation (QGE) algorithm has been shown to achieve doubly quantum e...
Symmetry-adapted sample-based quantum diagonalization: Application to lattice model
Kosuke Nogaki, S. Backes, Tomonori Shirakawa +2 more·May 1, 2025
We present a symmetry-adapted extension of sample-based quantum diagonalization (SQD) that rigorously embeds space-group symmetry into the many-body subspace sampled by quantum hardware. The method is benchmarked on the two-leg ladder Hubbard model u...
A low-noise and high-stability DC source for superconducting quantum circuits
Daxiong 大雄 Sun 孙, J. ZHANG 张, Peisheng 培生 Huang 黄 +16 more·May 1, 2025
With the rapid scaling of superconducting quantum processors, electronic control systems relying on commercial off-the-shelf instruments face critical bottlenecks in signal density, power consumption, and crosstalk mitigation. Here we present a custo...
Quantum circuit simulation of black hole evaporation and Maxwell demon interpretation
H. Hadi, A. R. Akbarieh, E. Saridakis·May 1, 2025
We suggest a quantum circuit model which simulates the black-hole evaporation process. In particular, Almheiri-Marolf-Polchinski-Sully (AMPS) paradox and the ER=EPR correspondence are reconsidered regarding our proposed model, which assumes a Maxwell...
On estimating the quantum ℓα distance
Yupan Liu, Qisheng Wang·May 1, 2025
We study the computational complexity of estimating the quantum $\ell_{\alpha}$ distance ${\mathrm{T}_\alpha}(\rho_0,\rho_1)$, defined via the Schatten $\alpha$-norm $\|A\|_{\alpha} = \mathrm{tr}(|A|^{\alpha})^{1/\alpha}$, given $\operatorname{poly}(...
Optomechanical resource for fault-tolerant quantum computing
Margaret Pavlovich, Peter T. Rakich, S. Puri·May 1, 2025
Fusion-based quantum computing with dual-rail qubits is a leading candidate for scalable quantum computing using linear optics. This paradigm requires single photons which are entangled into small resource states before being fed into a fusion networ...
Quantum Glassiness From Efficient Learning
Eric R. Anschuetz·Apr 30, 2025
We show a relation between quantum learning theory and algorithmic hardness. We use the existence of efficient, local learning algorithms for energy estimation -- such as the classical shadows algorithm -- to prove that finding near-ground states of ...
A Path to Quantum Simulations of Topological Phases: (2+1)D Quantum Electrodynamics with Wilson Fermions
Sriram Bharadwaj, Emil Rosanowski, Simran Singh +5 more·Apr 30, 2025
Quantum simulation offers a powerful approach to studying quantum field theories, particularly (2+1)D quantum electrodynamics (QED$_3$) with Wilson fermions, which hosts a rich landscape of physical phenomena. A key challenge in lattice formulations ...
An Optimally Accurate Lanczos Algorithm in the Matrix Product State Representation
Yu Wang, Zhangyu Yang, Xingyao Wu +1 more·Apr 30, 2025
We improve the convergence of the Lanczos algorithm using the matrix product state representation. As an alternative to the density matrix renormalization group (DMRG), the Lanczos algorithm avoids local minima and can directly find multiple low-lyin...
Classical capacities under physical constraints: More capacity with less entanglement
Sudipta Mondal, Pritam Halder, Saptarshi Roy +1 more·Apr 30, 2025
Current advancements in communication equipment demand the investigation of classical information transfer over quantum channels, by encompassing realistic scenarios in finite dimensions. To address this issue, we develop a framework for analyzing cl...
Exponential advantage in quantum sensing of correlated parameters
Sridhar Prabhu, Vladimir Kremenetski, Saeed A. Khan +2 more·Apr 30, 2025
Conventionally in quantum sensing, the goal is to estimate one or more unknown parameters that are assumed to be deterministic - that is, they do not change between shots of the quantum-sensing protocol. We instead consider the setting where the para...
Heterogeneously error-corrected QRAMs
Ansh Singal, Kaitlin N. Smith·Apr 30, 2025
Quantum Random Access Memory (QRAM) holds the promise of enabling several large scale applications of quantum computers. However, designing fault tolerant QRAMs for large scale applications is still an open problem due to the poor error and resource ...
Quantum Annealing Algorithms for Estimating Ising Partition Functions
Haowei Li, Zhiyuan Yao, Xingze Qiu·Apr 30, 2025
Estimating partition functions of Ising spin glasses is a cornerstone of statistical physics and computational science, yet it remains classically challenging due to its $\#$P-hard complexity. While Jarzynski's equality offers a theoretical pathway, ...
Spatiotemporal entanglement of the vacuum
Pravin Kumar Dahal, Kieran Hymas·Apr 30, 2025
We demonstrate that the future and left Rindler wedges of Minkowski spacetime are entangled, leading to the Unruh effect. Similarly, the past and right Rindler wedges are also entangled. We propose a protocol to extract this entanglement using two tw...
A note on the quantum Wielandt inequality
Owen Ekblad·Apr 30, 2025
In this note, we prove that the index of primitivity of any primitive unital Schwarz map is at most $2(D-1)^2$, where $D$ is the dimension of the underlying matrix algebra. This inequality was first proved by Rahaman for Schwarz maps which were both ...
Optimal fermion-qubit mappings via quadratic assignment
Mitchell Chiew, Cameron Ibrahim, Ilya Safro +1 more·Apr 30, 2025
Simulation of fermionic systems is one of the most promising applications of quantum computers. It spans problems in quantum chemistry, high-energy physics and condensed matter. Underpinning the core steps of any quantum simulation algorithm, fermion...
Systematically improved potential energy surfaces via sinNN models and sparse grid sampling
Antoine Aerts·Apr 30, 2025
Accurate, global Potential Energy Surfaces (PES) expressed in sum-of-products (SOP) form are a prerequisite for efficient high-dimensional quantum dynamics simulations using the MCTDH method. This work introduces a methodology for constructing such s...
Semiclassical Approach to Quantum Fisher Information
Mahdi RouhbakhshNabati, Daniel Braun, Henning Schomerus·Apr 30, 2025
Quantum sensors driven into the quantum chaotic regime can have dramatically enhanced sensitivity, which, however, depends intricately on the details of the underlying classical phase space. Here, we develop an accurate semiclassical approach that pr...
Preparation Circuits for Matrix Product States by Classical Variational Disentanglement
Refik Mansuroglu, Norbert Schuch·Apr 30, 2025
We study the classical compilation of quantum circuits for the preparation of matrix product states (MPS), which are quantum states of low entanglement with an efficient classical description. Our algorithm represents a near-term alternative to previ...
SPARO: Surface-code Pauli-based Architectural Resource Optimization for Fault-tolerant Quantum Computing
Shuwen Kan, Zefan Du, Chenxu Liu +5 more·Apr 30, 2025
Surface codes represent a leading approach for quantum error correction (QEC), offering a path towards universal fault-tolerant quantum computing (FTQC). However, efficiently implementing algorithms, particularly using Pauli-based computation (PBC) w...