Papers

Yu-Xuan Zhang, Yu-Xiang Zhang·Aug 4, 2026

In many-body physics, an explicit wavefunction often provides the most thorough understanding, yet for monitored random Clifford circuit it has remained missing. Here we develop a framework that grants direct access to the typical output states. As e...

Francisco Riberi, Lorenza Viola, Milad Marvian·Aug 3, 2026

Spin-squeezed states enable entanglement-enhanced frequency estimation; however, the achievable performance is limited in practice by decoherence. We study the problem of parameter estimation under \emph{classical collective noise} that acts along a ...

Subimal Deb, V. S. Prasannaa·Aug 3, 2026

In spite of recent advances, quantum computers are expected to be sufficiently noisy in the coming few years to the extent of limiting quantum chemical calculations to relatively small number of orbitals. However, even with reasonable quality single ...

Gerardo Adesso·Aug 3, 2026

We prove that the entanglement of formation of every two-mode Gaussian state coincides with its Gaussian restriction, solving a longstanding open problem in continuous variable quantum information theory. The key result is a sharp affine relation bet...

Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6 more·Aug 3, 2026

We present a set of tools for mapping general stochastic programs to thermodynamic hardware designed for energy-efficient stochastic sampling. Given a target stochastic program expressed as a Directed Factor Graph (DFG) of stochastic channels, or equ...

Guillaume Verdon, Leo Tyrpak, Owen Lockwood +5 more·Aug 3, 2026

We introduce Parametrized Stochastic Circuits (PSCs), a gate-based intermediate representation for programmable stochastic dynamics in which typed local stochastic kernels with tunable parameters compose over explicit binary, categorical, and continu...

Artem Alexandrov·Aug 1, 2026

We bridge two sides of singular perturbation theory: the classical theory of slow-fast systems and the semi-classical approach to quantum mechanical systems. For a specific but physically important class of dynamical systems, we show that purely clas...

Maggie Bao, Rushil Dandamudi, Jerimiah Wright +4 more·Jul 30, 2026

As quantum computing matures, it is critical to benchmark its real-world problem solving performance against competitive classical methods, such as tensor networks. In this work, we leverage the Density Matrix Renormalization Group (DMRG) algorithm t...

Mingsong Wu, Leili Esmaeilifar, Rui Ning Wang +3 more·Jul 30, 2026

Promising implementations of first generation quantum repeaters are predicted to require atomic-based quantum memory systems interfaced with photonic sources. Integrated photonics provides a promising solution for fibre-based, field-deployed operatio...

Jun-Jie Jiang, Jin-Di Cao, Yu-Fei Zhang +2 more·Jul 30, 2026

We investigate the charging dynamics and thermodynamic performance of a wireless quantum battery system mediated by a common structured bosonic environment. By employing a unified resource-theoretic analysis, we elucidate the distinct roles of non-Ma...

N. L. Chuprikov·Jul 29, 2026

The Klein-Gordon-Fock (KGF) theory with the vector potential is presented as a one particle relativistic quantum mechanics (QM). First, the KGF equation is written in a Hamiltonian form, in spinor space; unlike the Feshbach-Villars approach, the Hami...

Timon Scheiber·Jul 28, 2026

We investigate a hybrid quantum-classical approach to quantum error mitigation. We propose Classically Augmented Zero-Noise Extrapolation, a hybrid error-mitigation method in which high-noise Richardson extrapolation nodes are replaced by classically...

Lionel Martellini·Jul 28, 2026

We develop a record-based account of internal time in quantum mechanics. Persistent records first define an ordinal chronology through inclusion of their accumulated Boolean algebras. On a specified record filtration, we prove that, under three minim...

Jacob Emerson·Jul 28, 2026

Simulation of nonlinear stochastic master equations generally requires trajectory-level evolution of large Hilbert-space density matrices, making strongly nonlinear continuously monitored systems computationally challenging. Here we identify an exact...

Priyanka Lamba, Fabio Maltoni, Olimpia Miniati +1 more·Jul 27, 2026

We develop a quantum-tomographic framework for determining whether possible CP-odd effects in $t\bar t$ events originate in production, in decay, or in both. In the narrow-width approximation, the process $I\to t\bar t\to b\ell^+ν\,\bar b\ell^-\barν$...

Priyanka Lamba, Fabio Maltoni, Olimpia Miniati +1 more·Jul 27, 2026

We investigate how possible new CP-violating top-quark interactions are encoded in the quantum state of a produced $t\bar t$ pair. We derive analytic expressions for the production density matrix in several benchmark channels relevant to hadron, lept...

Dominic Messina, Alicia B. Magann, Mohan Sarovar +1 more·Jul 27, 2026

We introduce a new hybrid quantum-classical algorithm inspired by an advanced control strategy known as model predictive control (MPC). This algorithm unifies the optimization-based design of variational quantum algorithms (VQAs) with the feedback-ba...

Zach Manson, Barry C. Sanders·Jul 27, 2026

We study the impact that two miners equipped with quantum computers purpose-built for quantum Bitcoin mining will have on the 51% attack threshold of the Bitcoin network, given that the miners are playing a competitive game against each other to be t...

Lei Du, Aymeric Frerejean, Witlef Wieczorek +2 more·Jul 24, 2026

Conventional membrane-in-the-middle (MIM) optomechanical systems offer limited control over the optical linewidth, which can limit their performance when operating in the unresolved-sideband regime. We investigate cavity optomechanics with a photonic...

Owen Dugan, Rumen Dangovski, Peter Y. Lu +1 more·Jul 23, 2026

Continuous-variable quantum state tomography is limited by the cost of resolving non-Gaussian structure in high-dimensional phase space. We introduce QST-Flow, a quantum state tomography framework via flow-based generative modeling that represents ex...