Papers
A first-principles linear response theory for open quantum systems and its application to Orbach and direct magnetic relaxation in Ln-based coordination polymers
Mikolaj Żychowicz, Jakub J. Zakrzewski, Szymon Chorazy +1 more·Mar 19, 2026
Single-Molecule Magnets (SMMs) exhibit slow magnetic relaxation as a result of axial magnetic anisotropy inhibiting spin-phonon transitions. In order to establish a direct link between physical observables and the microscopic theory of magnetic relax...
Quantum Kinetics of Fast-Electron Inelastic Collisions in Partially-Ionized Plasmas
Yeongsun Lee, Pavel Aleynikov, Jong-Kyu Park·Mar 19, 2026
Fast electrons in partially ionized plasmas lose energy through inelastic collisions with bound electrons. While the mean energy loss is well described by stopping-power theory, fluctuations associated with discrete excitation and ionization events p...
Barren Plateaus Beyond Observable Concentration
Zi-Shen Li, Bujiao Wu, Xiao-Wei Li +1 more·Mar 19, 2026
Parameterized quantum circuits (PQCs) are central to quantum machine learning and near-term quantum simulation, but their scalability is often hindered by barren plateaus (BPs), where gradients decay exponentially with system size. Prior explanations...
Simulating Quantum Error Correction beyond Pauli Stochastic Errors
Jordan Hines, Corey Ostrove, Kenneth Rudinger +4 more·Mar 19, 2026
Quantum error correction (QEC), the lynchpin of fault-tolerant quantum computing (FTQC), is designed and validated against well-behaved Pauli stochastic error models. But in real-world deployment, QEC protocols encounter a vast array of other errors ...
Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise
Anuj K. Nayak, Paul G. Baity, Peter J. Love +4 more·Mar 18, 2026
Fault-tolerant quantum computation demands extremely low logical error rates, yet superconducting qubit arrays are subject to radiation-induced correlated noise arising from cosmic-ray muon-generated quasiparticles. The quasiparticle density is unkno...
From Classical Stochastic to Monitored Quantum Dynamics: Dynamical Phase Coexistence in East Circuit Models
Marcel Cech, Johan du Buisson, Cecilia De Fazio +2 more·Mar 18, 2026
Kinetically constrained models have been widely studied in the context of glass formers and non-equilibrium statistical mechanics. Although their simple local rules often result in structureless static properties, their dynamics exhibit intricate eme...
An HHL-Based Quantum-Classical Solver for the Incompressible Navier-Stokes Equations with Approximate QST
Moshe Inger, Steven Frankel·Mar 18, 2026
In computational fluid dynamics (CFD), the numerical integration of the Navier-Stokes equations is frequently constrained by the Poisson equation to determine the pressure. Discretization of this equation often results in the need to solve a system o...
Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling
Zhou-Quan Wan, Roeland Wiersema, Shiwei Zhang·Mar 18, 2026
Variational Monte Carlo (VMC) is a powerful and fast-growing method for optimizing and evolving parameterized many-body wave functions, especially with modern neural-network quantum states. In practice, however, the stochastic estimators that form th...
MQTE: A Measurement-Based Quantum Algorithm for Robust Energy Spectrum Estimation in the NISQ Era
Qing-Xing Xie, Yong-Kang Duan, Fa-Hui Liu +1 more·Mar 18, 2026
Extracting energy spectra from quantum Hamiltonians is a fundamental task for quantum simulation, yet remains challenging on noisy intermediate-scale quantum (NISQ) devices. We propose Measured Quantum Time Evolution (MQTE), an ancilla-free algorithm...
Beyond VQE and QPE: A Noise- and Sampling-Error-Tolerant Quantum Algorithm with Heisenberg-Limited Precision
Qing-Xing Xie, Zidong Lin, Yun-Long Liu +1 more·Mar 18, 2026
This paper introduces Witnessed Quantum Time Evolution (WQTE), a novel quantum algorithm for efficiently computing the eigen-energy spectra of arbitrary quantum systems without requiring eigenstate preparation-a key limitation of conventional approac...
Efficient Quantum Algorithm for Solving Linear Distributed Delay Differential Equations
Wataru Setoyama, Keisuke Fujii·Mar 18, 2026
Non-Markovian dynamics is ubiquitous in both quantum and classical systems, but the numerical computation of the time-delay dynamics is demanding. In this work, we propose an efficient quantum algorithm for solving linear distributed delay differenti...
Hamiltonian Simulation and Linear Combination of Unitary Decomposition of Structured Matrices
Robin Ollive, Stéphane Louise·Mar 18, 2026
To treat a problem with a Quantum Processing Unit (QPU), it must be transformed into a sequence of quantum operations, or gates: this is the quantum description of the problem. These operations are either packed into a query (i.e. quantum algorithm p...
The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
Narjes Ansari, César Feniou, Nicolaï Gouraud +13 more·Mar 18, 2026
Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio molecular dynamics has historically forced a compromise between chemical...
Bosonic quantum mixtures with competing interactions: quantum liquid droplets and supersolids
Sarah Hirthe, Leticia Tarruell·Mar 18, 2026
These lecture notes contain an introduction to quantum simulation of bosonic systems in the continuum, focusing on weakly interacting Bose-Bose mixtures with competing mean-field interactions. When the values of such interactions are fine-tuned to al...
TENSO: Software Package for Numerically Exact Open Quantum Dynamics Based on Efficient Tree Tensor Network Decomposition of the Hierarchical Equations of Motion
Juan C. Rodriguez Betancourt, Michelle C. Anderson, Luchang Niu +2 more·Mar 18, 2026
TENSO is a versatile and powerful open-source software package for numerically exact simulations of the dynamics of quantum systems immersed in structured thermal environments. It is based on a tree tensor network decomposition of the hierarchical eq...
Implementation of non-local arbitrary two-qubit controlled gates via geometric quantum computation with Rydberg anti-blockade
Le-Jiang Yu, Jia Zheng, Kun Pu +1 more·Mar 18, 2026
In the context of Rydberg anti-blockade, this paper proposes a new scheme for a high-fidelity controlled-unitary gate based on non-adiabatic holonomic quantum computation. Under specific detuning and interaction conditions, the scheme achieves a suit...
Geometry and restoration of the quantum Mpemba effect beyond weak-coupling regime in the spin-boson model
P. Chirico, G. Di Bello, G. De Filippis +1 more·Mar 18, 2026
Understanding relaxation dynamics in open quantum systems is a central problem in nonequilibrium quantum physics. Here we investigate the quantum Mpemba effect in the spin-boson model. In the weak-coupling Markovian regime we show that the occurrence...
General circuit compilation protocol into partially fault-tolerant quantum computing architecture
Tomochika Kurita·Mar 18, 2026
As we are entering an early-FTQC era, circuit execution protocols with logical qubits and certain error-correcting codes are being discussed. Here, we propose a circuit execution protocol for the space-time efficient analog rotation (STAR) architectu...
Quantum Simulation of Non-Hermitian Linear Response via Schrödingerization
Jeongbin Jo·Mar 18, 2026
Linear response theory and Green's functions provide a universal framework for understanding dynamical correlations in strongly correlated open quantum systems. While the theoretical foundation for non-Hermitian linear response has been recently esta...
Reinforcement Learning for Fast and Robust Longitudinal Qubit Readout
Yiming Yu, Yuan Qiu, Xinyu Zhao +2 more·Mar 18, 2026
Longitudinal coupling offers a compelling pathway for quantum nondemolition (QND) readout, but pulse design is constrained by hardware limitations such as the coupling strength and the photon number required to stay within the linear regime. We devel...