Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Exact treatment of the memory kernel under time-dependent system-environment coupling via a train of delta distributions
Yuta Uenaga, Kensuke Gallock-Yoshimura, Takano Taira·May 1, 2025
Memory effects in a quantum system coupled to an environment are one of the central features in the theory of open quantum systems. The dynamics of such quantum systems are typically governed by an equation of motion with a time-convolution integral ...
On the Schrödingerization method for linear non-unitary dynamics with optimal dependence on matrix queries
Shi Jin, Nana Liu, Chuwen Ma +2 more·May 1, 2025
The Schrödingerization method converts linear partial and ordinary differential equations with non-unitary dynamics into systems of Schrödinger-type equations with unitary evolution. It does so via the so-called warped phase transformation that maps ...
Experimental evidence for the physical delocalization of individual photons in an interferometer
Ryuya Fukuda, Masataka Iinuma, Yuto Matsumoto +1 more·May 1, 2025
It is generally assumed that the detection of a single photon as part of an interference pattern erases all possible which-path information. However, recent insights suggest that weak interactions can provide non-trivial experimental evidence for the...
An Efficient Decomposition of the Carleman Linearized Burgers' Equation
Reuben Demirdjian, Thomas Hogancamp, Daniel Gunlycke·May 1, 2025
Herein, we present a polylogarithmic decomposition method to load the matrix from the linearized 1-dimensional Burgers' equation onto a quantum computer. First, we use the Carleman linearization method to map the nonlinear Burgers' equation into an i...
A new approximate Eastin-Knill theorem
Rhea Alexander·May 1, 2025
Transversal encoded gatesets are highly desirable for fault tolerant quantum computing. However, a quantum error correcting code which exactly corrects for local erasure noise and supports a universal set of transversal gates is ruled out by the East...
Exploring the application of quantum technologies to industrial and real-world use cases
E. Osaba, Esther Villar-Rodriguez, I. Oregi·May 1, 2025
Recent advancements in quantum computing are leading to an era of practical utility, enabling the tackling of increasingly complex problems. The goal of this era is to leverage quantum computing to solve real-world problems in fields such as machine ...
Exact Many-body Quantum Dynamics in One-Dimensional Baths via"Superspins"
Josephine T. Lee, Silvia Cardenas-Lopez, Stuart J. Masson +2 more·May 1, 2025
Computing the exact dynamics of many-body quantum systems becomes intractable as system size grows. Here, we present a symmetry-based method that provides an exponential reduction in the complexity of a broad class of such problems $\unicode{x2014}$ ...
Scalable Quantum Computing with Optical Links
M. J. Weaver, G. Arnold, H. Weaver +2 more·May 1, 2025
Quantum computers have great potential to solve problems which are intractable on classical computers. However, quantum processors have not yet reached the required scale to run applications which outperform traditional computers. Leading hardware pl...
Comprehensive Study on Heisenberg-limited Quantum Algorithms for Multiple Observables Estimation
Yuki Koizumi, Kaito Wada, Wataru Mizukami +1 more·May 1, 2025
In the accompanying paper of arXiv:2505.00697, we have presented a generalized scheme of adaptive quantum gradient estimation (QGE) algorithm, and further proposed two practical variants which not only achieve doubly quantum enhancement in query comp...
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...