Papers

Masayuki Ohzeki, Sasuke Kimata, Xinwei Lee +1 more·Aug 21, 2026

Virtual distillation is a powerful near-term error-mitigation primitive, but it is also a spectral filter: it amplifies the dominant eigenvector component already present in the noisy density matrix. We show that, for a finite-band variational state,...

Michele Coppola, Zala Lenarčič·Aug 21, 2026

When only local observables of a many-body quantum system are of interest, it is desirable to formulate a reduced description within the Hilbert space of the corresponding subsystem, with the remaining degrees of freedom traced out and acting as an e...

Diego Andrés Rivera Orona, Predrag Punoševac, Nikolai A. Sinitsyn·Aug 21, 2026

Unlike second-order phase transitions, a first-order transition has a stage, in which a system is trapped in a metastable state. The decay of this state leads to abundant excitations over the ground state. We present a field theory for kinetics of de...

Jian Yao, Quntao Zhuang·Aug 21, 2026

Quantum state ensembles are important in quantum information processing. For example, quantum $t$-designs model highly entangled states in complex systems, while projected ensembles appear in generative quantum machine learning and studies of thermal...

Peter Sidajaya, Clive Cenxin Aw, Mingxuan Liu +1 more·Aug 21, 2026

The Petz recovery map is considered one of the key candidates for the quantum analogue of Bayesian inference and Jeffrey's conditionalization. Since, there seems to be a natural connection between Bayesian inference and the notion of state tomography...

J. T. Chalker·Aug 21, 2026

These notes accompany lectures given in June 2025 at the summer school \emph{Fundamental Problems in Statistical Physics XVI}. They offer a short introduction to random quantum circuits as simple models for generic many-body quantum systems. They giv...

Jonas B. Rigo, Björn J. Wurst, Rajah Nutakki +2 more·Aug 21, 2026

Neural quantum states provide flexible variational representations of quantum many-body wave functions by combining neural-network parametrizations with Monte Carlo sampling. In this perspective, we review recent advances in their application to cond...

Zohreh Davoudi, Jesse R. Stryker·Aug 21, 2026

Quantum algorithms for simulating quantum chromodynamics (QCD) have matured steadily since the pioneering work of Byrnes and Yamamoto [PRA 73, 022328 (2006)]. The most popular strategies for Hamiltonian simulation involve product-formula decompositio...

Kaniuar Bacho, Alexandru Cojocaru·Aug 21, 2026

Remote state preparation (RSP) is a central primitive in quantum cryptography, enabling classical parties to remotely construct quantum states using only classical communication. As a result, RSP serves as a key building block in numerous protocols i...

Yue Zhang·Aug 21, 2026

Superpositions of Gaussian states, including circular states and generalized circular states, exhibit a rich variety of nonclassical features such as Wigner negativity and sub-Planck phase-space structures. The Tsirelson probability, central to the T...

Tanay Kibe, Pratik Roy·Aug 21, 2026

We represent sandwiched and $α$-$z$ Rényi divergences as averages of ordinary relative entropy. The $α$-$z$ Rényi divergence is shown to be an integral over the relative entropy of a canonical family of fixed-ray escort states along the ray $z=cα$. W...

Jef Pauwels, Otfried Gühne·Aug 21, 2026

Bell-state measurements are essential ingredients in many protocols for quantum information processing, ranging from quantum teleportation and dense coding to entanglement distribution in quantum networks. Their power relies on the fact that they are...

Hilbert Kappen·Aug 21, 2026

We develop a Bayesian formulation of diffusive quantum-classical dynamics by treating the wave function and classical variables as components of an ordinary stochastic process. The joint probability density P(ψ,x,t) obeys a classical Fokker-Planck eq...

Xiaoyi Zheng, Lin Chen, Chan-Tong Lam·Aug 21, 2026

Existing schemes for synthesizing graph states in quantum networks are essentially edge-by-edge constructions, so quantities such as the time-slot depth and the resource overhead grow significantly with the edge density of the target graph. This pape...

Stelio Varrone, Yunxiang Liao·Aug 21, 2026

The quantum Fisher information (QFI) is widely used to characterize quantum phases and transitions, but its diagnostic power sometimes relies on selecting special generators based on prior knowledge of the underlying physics. We ask whether this requ...

Yuyuan Feng, Zhishang Xiang, Chaobin Yang +32 more·Aug 21, 2026

LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities, Context Engineering to manage information access,...

Rahul V, Ranjan Modak, Shaon Sahoo +1 more·Aug 21, 2026

We study quantum dynamics through the lens of entanglement generation and characterize the underlying unitary evolution by the distinct signatures it imprints on the time-dependent entangling power. For a unitary operator, we characterize ergodicity ...

Michele Minervini, Nana Liu, Dhrumil Patel +1 more·Aug 21, 2026

Here we argue how quantum thermodynamics offers a unifying interpretation for a wide class of semidefinite programs (SDPs) that arise in quantum information. Three SDP variable constraints, namely trace-one density operators, operator-bounded measure...

Krishna Lyn Delima, Elsa Danielsson, Bruno Bertin-Johannet +1 more·Aug 21, 2026

Nanoscale thermoelectric devices convert tiny amounts of heat into power. But what happens if the external conditions and resulting temperature differences are not a priori known? We propose a feedback mechanism that optimizes the performance of a qu...

Zhengwei Liu, Zishuo Zhao·Aug 21, 2026

The Levin--Wen model provides a lattice realization of topological orders associated with a given unitary fusion category. A longstanding open problem is to characterize Levin--Wen ground-state wave functions intrinsically, without assuming a priori ...