Papers
Live trends in quantum computing research, updated daily from arXiv.
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Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
Juan Camilo Rodrıguez, Hsien-Yi Hsieh, Hua-Li Chen +3 more·Sep 26, 2025
We present a supervised machine learning-based method using convolutional neural networks to estimate the covariance matrix of Gaussian quantum states in the presence of thermal noise. Unlike computationally intensive density matrix reconstructions, ...
Optimizing the non-Clifford-count in unitary synthesis using Reinforcement Learning
David Kremer, Ali Javadi-Abhari, Priyanka Mukhopadhyay·Sep 26, 2025
In this paper we study the potential of using reinforcement learning (RL) in order to synthesize quantum circuits, while optimizing the T-count and CS-count, of unitaries that are exactly implementable by the Clifford+T and Clifford+CS gate sets, res...
Fast mixing of operator-loop path-integral quantum Monte Carlo for stoquastic XY Hamiltonians
Chaithanya Rayudu, Jun Takahashi·Sep 25, 2025
Quantum Monte Carlo method with operator-loop update is a powerful technique that has been extensively used with great success in condensed matter physics. It enables one to sample from thermal and ground states of local Hamiltonians of various spin,...
Tensors, entanglement, separability, and their complexity
Shmuel Friedland·Sep 25, 2025
One of the most challenging problems in quantum physics is to quantify the entanglement of $d$-partite states and their separability. We show here that these problems are best addressed using tensors. The geometric measure of entanglement of a pure s...
Quantum lattice Boltzmann algorithm for heat transfer with phase change
Christopher L. Jawetz, Zhixin Song, Spencer H. Bryngelson +1 more·Sep 25, 2025
Heat transfer involving phase change is computationally intensive due to moving phase boundaries, nonlinear computations, and time step restrictions. This paper presents a quantum lattice Boltzmann method (QLBM) for simulating heat transfer with phas...
QuFoundry: Generating Data with Quantum Properties for Quantum Machine Learning Utility
Jason Ludmir, Ian Martin, Nicholas S. DiBrita +1 more·Sep 25, 2025
Quantum machine learning (QML) promises significant speedups, particularly when operating on quantum datasets. However, its progress is hindered by the scarcity of suitable training data. Existing synthetic data generation methods fall short in captu...
Smearing of dynamical quantum phase transitions in dissipative free-fermion systems
Gilles Parez, Vincenzo Alba·Sep 25, 2025
We investigate the Lindblad dynamics of the reduced Loschmidt echo (RLE) in dissipative quadratic fermion systems. Focusing on the case of gain and loss dissipation, we derive general conditions for the persistence of nonanalyticities (so-called dyna...
Observation of resonant monopole-dipole energy transfer between Rydberg atoms and polar molecules
J. Zou, R. R. W. Wang, R. González-Férez +2 more·Sep 25, 2025
Resonant energy transfer (RET), between equal parity 1s65s$^3\mathrm{S}_1$ and 1s66s$^3\mathrm{S}_1$ Rydberg levels in helium has been observed in low-temperature ($\sim80$ mK) collisions with ammonia molecules which undergo inversion transitions in ...
Breaking $1/ε$ Barrier in Quantum Zero-Sum Games: Generalizing Metric Subregularity for Spectraplexes
Yiheng Su, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Pucheng Xiong·Sep 25, 2025
Long studied as a toy model, quantum zero-sum games have recently resurfaced as a canonical playground for modern areas such as non-local games, quantum interactive proofs, and quantum machine learning. In this simple yet fundamental setting, two com...
A Markovian approach to $N$-photon correlations beyond the quantum regression theorem
Mateusz Salamon, Oliver Dudgeon, Ahsan Nazir +1 more·Sep 25, 2025
Multi-photon correlations from quantum emitters coupled to vibrational environments lie beyond the reach of standard tools such as the quantum regression theorem (QRT). Here, we introduce a Markovian framework for computing frequency-resolved $N$-pho...
From VQE To SQD: Modern Quantum Algorithms For The Electronic Structure Problem
Abdelmouheymen Rabah Khamadja, Mohamed Taha Rouabah·Sep 25, 2025
This thesis investigates sampling-based quantum algorithms for electronic ground state energy estimation, focusing on Quantum-Selected Configuration Interaction (QSCI) and Sample-Based Quantum Diagonalization (SQD) as near-term alternatives to the Va...
Critical dynamics and superconducting state preparation in the quenched Kitaev chain with pairing imbalance
Y. B. Shi, Y. X. Zhang, S. W. Liu +1 more·Sep 25, 2025
The dynamical balance of the pairing term plays a crucial role in the emergence of topological superconductivity in the p-wave spinless Kitaev chain, particularly in the non-Hermitian regime. In this work, we systematically investigate the effects of...
Quantum algorithms for solving a drift-diffusion equation: analysing circuit depths
Ellen Devereux, Animesh Datta·Sep 25, 2025
We compare the circuit depths for five different gate sets to implement a quantum algorithm solving a drift-diffusion equation in two spatial dimensions. Our algorithm uses diagonalisation by the quantum Fourier transform. The gate sets are: An uncon...
Dynamics and Control of Two Coupled Quantum Oscillators: An Analytical Approach
Ali Abu-Nada, Lian-Ao Wu·Sep 25, 2025
We analyze two coupled quantum oscillators in a common Lorentzian environment and control them by detuning (temporarily shifting) their frequencies. The reduced dynamics are solved exactly, without Born or Markov approximations, by propagating each d...
Dynamic RIS-Assisted THz Quantum Networks: Joint Optimization of Entanglement Generation and Fidelity under Channel Impairments
Shakil Ahmed·Sep 25, 2025
Quantum networks (QNs) supported by terahertz (THz) wireless links present a transformative alternative to fiber-based infrastructures, particularly in mobile and infrastructure-scarce environments. However, signal attenuation, molecular absorption, ...
On the hardness of approximating minimum distances of quantum codes
Elena Grigorescu, Vatsal Jha, Eric Samperton·Sep 25, 2025
The problem of computing distances of error-correcting codes is fundamental in both the classical and quantum settings. While hardness for the classical version of these problems has been known for some time (in both the exact and approximate setting...
Entanglement sharing schemes
Zahra Khanian, Dongjin Lee, Debbie Leung +7 more·Sep 25, 2025
We ask how quantum correlations can be distributed among many subsystems. To address this, we define entanglement sharing schemes (ESS) where certain pairs of subsystems allow entanglement to be recovered via local operations, while other pairs must ...
Thermal reconstruction of chaotic quantum many-body systems
Shozab Qasim, Jason Pollack·Sep 25, 2025
Thermal states are thermal with respect to a fixed Hamiltonian. How much information about this Hamiltonian can we ``bootstrap'' from the subsystems of a thermal state? We attack the problem by positioning it as a subspecies of the quantum marginal p...
Holographic codes and bulk RG flows
Xi Dong, Donald Marolf, Pratik Rath·Sep 25, 2025
We consider the coarse-graining of holographic quantum error correcting codes under a generalized notion of bulk renormalization-group flow. In particular, we study the renormalization under this flow of the $A/4G$ term in the Faulkner-Lewkowycz-Mald...
Efficient Quantum Measurements: Computational Max- and Measured Rényi Divergences and Applications
Álvaro Yángüez, Thomas A. Hahn, Jan Kochanowski·Sep 25, 2025
Quantum information processing is limited, in practice, to efficiently implementable operations. This motivates the study of quantum divergences that preserve their operational meaning while faithfully capturing these computational constraints. Using...