quant-ph digest — 2026-05-16

Generated 2026-05-16 · 78 entries scored · 17 relevant

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

Source

arXiv listing: https://arxiv.org/list/quant-ph/new (59 new + 19 cross = 78 entries)
Coverage: all 78 entries scored. 17 relevant (score ≥ 1); 61 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 paper

Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max Cut

We prove that the maximum eigenvalue of the (both signed and unsigned) Laplacian of level $k$ Kikuchi graph of any graph $G$ with $m$ edges is at most $m+k$. This confirms four recent conjectures of Apte, Parekh, and Sud. As applications, we obtain that tensor products of one and two qubit product states achieve an approximation ratio of $5/8$ for Quantum Max Cut and $5/7$ for the XY Hamiltonian. Moreover, combining our bounds with the algorithms analyzed by Apte, Parekh, and Sud, yields efficient algorithms achieving an approximation ratio of $0.614$ for Quantum Max Cut and $0.674$ for the XY Hamiltonian. Finally, we also make modest progress on Brouwer's conjecture and improve Lew's bound …

Moderately relevant (score 5–7) — 6 papers

From Hilbert's Tenth Problem to Quantum Speedup: Explicit Oracles for Bounded Diophantine Systems

Solving non-linear Diophantine systems lies at the mathematical core of integer optimization and cryptography. While the general unbounded problem is undecidable, even over bounded integer domains it remains classically intractable in the worst case. In this work, we introduce a fully reversible quantum algorithmic framework tailored to solve arbitrary polynomial Diophantine equations over bounded integer domains. The core of our approach is the explicit, gate-level synthesis of an evaluation oracle for amplitude amplification. By coherently evaluating polynomial constraints via in-place two's complement arithmetic and routing operations into a single recycled accumulator, this garbage-free …

Optimizing the preparation of Dicke states using counterdiabatic driving methods

Recently, the technique of counterdiabatic driving, which provides an effective strategy for accelerating adiabatic quantum evolution, has been widely applied in the preparation of many-body quantum states. In this work, we propose a theoretical scheme for the efficient preparation of Dicke states in a system of non-interacting two-level atoms. Our approach leverages the one-axis twisting (OAT) interaction to generate non-classical correlations and combines it with time-dependent external fields to achieve precise control over the dynamics of the system. By employing rapid adiabatic passage (RAP), it demonstrates how the system can be steered from an initial coherent spin state to a target …

Nonlinear Hamiltonians and Boolean satisfiability

We consider an extended model of quantum computation where a scalable fault-tolerant quantum computer is coupled to one or more ancilla qubits that evolve according to a nonlinear Schrödinger equation. Following the approach of Abrams and Lloyd, an efficient quantum circuit evaluating an $n$-bit Boolean function in conjunctive normal form is used to prepare an ancilla encoding its number $s$ of satisfying assignments ($0 \le s \le 2^n$). This is followed by a nonlinear quantum state discrimination gate on the ancilla qubit that is used to learn properties of $s$. Here we consider three types of state discriminators generated by different nonlinear Hamiltonians. First, given a restricted …

QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone Scheduling

Quantum computing has demonstrated its potential to solve various optimization problems, including drone scheduling, which is important not only for drone delivery but also for logistics in general. However, one of the main obstacles is that practical drone scheduling settings typically require quantum resources that current hardware cannot provide. Therefore, in this work, we introduce a new Quantum Optimization via Coordinate Descent (QUACOD) approach to address this problem under the constraint of a limited number of available qubits. By leveraging coordinate descent, QUACOD decomposes the original high-complexity problem into multiple subproblems, which are then solved using quantum …

Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs

Hybrid quantum-classical (HQC) algorithms, such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), are central to near-term quantum computing but remain challenging to test. Sampling-based fuzzing can expose faulty or non-convergent configurations, but under realistic execution budgets, it may miss failure-prone regions in the joint space of classical optimizer settings and quantum circuit parameters. This paper studies failure-guided fuzzing for HQC programs. It models a hybrid input as a pair of classical optimizer hyperparameters and quantum circuit parameters, and evaluates a two-phase strategy that first searches for non-convergent …

A Toolbox to Understand the Physics of Quantum Data Management

The application of quantum computing to data management has attracted growing interest, yet remains constrained by a limited understanding of how the physical behaviour of quantum devices relates to the structure and difficulty of database problems. In particular, evaluating quantum annealing approaches for combinatorial optimisation, which is central to many data management tasks, poses significant challenges beyond the scope of conventional empirical and complexity-theoretic methods. We present a computational toolbox for the systematic numerical analysis of quantum annealing processes derived from data management problem formulations. Adopting a physics-informed perspective, the toolbox …

Tangential (score 1–4) — 10 papers

Summary table

ScorearXiv IDShort titleOverlapsarXiv
82605.14994Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max CutY5, Y1link
72605.13980From Hilbert's Tenth Problem to Quantum Speedup: Explicit Oracles for Bounded Diophantine…Y4link
62605.14378Optimizing the preparation of Dicke states using counterdiabatic driving methodsY4, Y2link
62605.14822Nonlinear Hamiltonians and Boolean satisfiabilityY4link
52605.14001QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone SchedulingY2, Y3link
52605.14219Failure-Guided Fuzzing for Hybrid Quantum-Classical ProgramsY1, Y3link
52605.14719A Toolbox to Understand the Physics of Quantum Data ManagementY2, Y3link
42605.14538Are free choices absolute, when internalized in Wigner's friend?Y6link
42605.14644Generating Non-Decomposable Maps with Differentiable Semidefinite ProgrammingY5link
32605.13979Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical AlgorithmY5link
32605.14395Interference visibility as a witness of preparation contextuality via overlap inequalitiesY6link
22605.14656Blind Quantum Computation on a Modular Superconducting ProcessorY6link
12605.14188QOuLiPo: What a quantum computer sees when it reads a booklink
12605.14235Quantum Advantage in Multi Agent Reinforcement Learninglink
12605.14640Perfect transmission and parallel composition for quantum walks on graphs with two leadslink
12605.15090Energy efficiency of quantum computerslink
12605.15098Accelerating State-Vector Quantum Simulation on Integrated GPUs via Cache Locality Optimi…link