quant-ph digest — 2026-05-07

Generated 2026-05-07T01:39:21Z · 96 entries scored · 26 relevant

Scored against Yuan's research programme (Y1–Y6):

Source

arXiv listing: https://arxiv.org/list/quant-ph/new (83 new + 13 cross = 96 entries)

Coverage: all 96 entries scored. 26 relevant (score ≥ 1); 70 SKIP (score 0, omitted).

Scoring rubric

0–10 on method/scope/conclusion overlap — max wins. HIGH 8–10 · MED 5–7 · LOW 1–4 · SKIP 0.

Highly relevant (score 8–10) — 1 papers

Quantum Resource Estimation for Minimising Energy Grid Losses

Distribution network reconfiguration (DNR) can minimise power losses by identifying the optimal topology of the electricity grid. Determining the minimum loss configuration is NP-hard, and classical optimisation methods struggle to scale to real-world distribution grids. This paper explores the use of gate-based quantum computing to solve DNR for power loss reduction. We formulate DNR as a higher-order unconstrained binary optimisation (HUBO) problem, avoiding the need for auxiliary variables, thereby reducing the required number of qubits. This is applied to a real medium voltage (MV) network operated by Alliander, a Dutch distribution system operator (DSO). For each biconnected component i

Moderately relevant (score 5–7) — 5 papers

Rigorous error bounds for dissipative thermal state preparation from weak system-bath coupling

Thermal state preparation is a central challenge in the simulation of quantum many-body systems. Yet, provably efficient algorithms for this task were only introduced recently [Chen et al. Nature 646, 561 (2025)]. These algorithms are based on dissipative Lindbladian evolution which exactly fixes the thermal state. Controlled and efficient digital simulation of this evolution, although possible in principle, remains out of reach for present-day quantum hardware. Subsequent work has therefore focused on analog approximations of the proposed Lindbladians via `collision models' with relatively modest requirements -- a resettable bath of ancilla qubits whose couplings to the system can be tu

BBQ-mIS: a parallel quantum algorithm for graph coloring problems

Among the limitations of current quantum machines, the qubits count represents one of the most critical challenges for porting reasonably large computational problems, such as those coming from real-world applications, to the scale of the quantum hardware. In this regard, one possibility is to decompose the problems at hand and exploit parallelism over multiple size-limited quantum resources. To this purpose, we designed a hybrid quantum-classical algorithm, i.e., BBQ-mIS, to solve graph coloring problems on Rydberg atoms quantum machines. The BBQ-mIS algorithm combines the natural representation of Maximum Independent Set (MIS) problems onto the machine Hamiltonian with a Branch&Bound (

Preparing High-Fidelity Thermofield Double States

A major promise of quantum computers is the controlled preparation of many-body quantum states beyond the reach of efficient classical computation. Among the most important targets are thermal mixed states and their thermofield double (TFD) purifications, which play central roles in quantum many-body physics and quantum gravity. For target systems with a bounded energy spectrum that obey the eigenstate thermalization hypothesis (ETH), we present a parent Hamiltonian built from two copies of the target Hamiltonian and ultra-local couplings between the copies, which we argue is gapped with a ground state that approximates a TFD state of the target Hamiltonian. By adiabatically evolving down fr

Shortest Path in Pauli Forest -- An Algorithm for Decomposing Pauli Exponentials to Quantum Circuits

Decomposing Pauli exponentials efficiently to quantum circuits has been the subject of intense research in recent years. Pauli exponentials are an essential component of many different quantum algorithms. Due to the error-prone nature of current and near term quantum devices, it is crucial that quantum circuits are as compact as possible. Several different types of algorithms have been developed to decompose Pauli exponentials into as short circuits as possible. We propose a novel algorithm for architecture-aware synthesis of Pauli exponentials that also determines the initial qubit placement on the device. We call this the Shortest Path in Pauli Forest algorithm. The results show an improve

Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor

We report experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond the reach of exact statevector simulation and challenging for state-of-the-art tensor-network methods. We encode this problem using up to 120 qubits through an efficient mapping that reduces circuit complexity, and we improve accuracy through error suppression to simulate dynamical evolution using up to 90 Trotter steps. From a vacancy defect introduced in the middle of an $L=31$-site (62-qubit) Néel initial state, we directly observe spin-charge separation to $t=9$ in natural units using up to 90 Trotter steps, and quantitatively extract veloc

Tangential (score 1–4) — 20 papers

Summary table

ScorearXiv IDShort titleOverlapsarXiv
82605.03467Quantum Resource Estimation for Minimising Energy Grid LossesY2, Y3, Y4link
62605.03011Rigorous error bounds for dissipative thermal state preparation from …Y5link
62605.03524BBQ-mIS: a parallel quantum algorithm for graph coloring problemsY2, Y4link
52605.03017Preparing High-Fidelity Thermofield Double StatesY5link
52605.03545Shortest Path in Pauli Forest -- An Algorithm for Decomposing Pauli E…Y5link
52605.04025Fast, accurate, high-resolution simulation of large-scale Fermi-Hubba…Y3, Y6link
32605.02966QBalance: A Reproducible Multi-Objective Workflow for Quantum Compila…link
32605.03022General method for obtaining the energy minimum of spin Hamiltonians …link
32605.03434Quantum Hierarchical Reinforcement Learning via Variational Quantum C…link
32605.03503Harnessing DEN models for quantum computing tasks on neutral atom QPUslink
32605.03565Neural optimization for quantum architectures: graph embedding proble…link
32605.03612A Critical Comment on 'Entropy Computing: A Paradigm for Optimiza…link
32605.03629Adversarial Effects on Expressibility and Trainability in Distributed…link
32605.03685Quantum Multi-Level Estimation of Functionals of Discrete Distributio…link
32605.03729Ensemble Engineering to Overcome Destructive Cancellation in Quantum …link
32605.03773Computation of entanglement for quantum states by a Consensus-Based O…link
32605.03854Space-Time Tradeoffs of Pauli-Based Computation in Distributed qLDPC …link
32605.03906Variational Joint Magnetometry and Gradiometry on Dipolar Spin Chainslink
32605.03932Magic-Informed Quantum Architecture Searchlink
32605.03951Factoring $2048$ bit RSA integers with a half-million-qubit modular a…link
32605.03972Regev's reduction as a candidate quantum algorithm for the discre…link
32605.04049FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Har…link
22605.02986Exploiting all ancilla outcomes in linear combinations of unitaries: …link
22605.03104Strong Locality as a Tetrahedron: A Symmetry-Reduced Geometric Repres…link
22605.03120Coordination Requires a Common Cause in Quantum Theorylink
22605.03132A missing causal principle: Coordinationlink