quant-ph digest — 2026-04-23

Generated 2026-04-23 · 77 entries scored · 16 relevant

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

Source

arXiv listing: https://arxiv.org/list/quant-ph/new (59 new + 18 cross = 77 entries; announce cycle Monday 20 April 2026)

Coverage: all 77 entries scored. 16 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) — 2 papers

Quantum Search without Global Diffusion

Quantum search is among the most important algorithms in quantum computing. At its core is quantum amplitude amplification, a technique that achieves a quadratic speedup over classical search by combining two global reflections: the oracle, which marks the target, and the diffusion operator, which reflects about the initial state. We show that this speedup can be preserved when the oracle is the only global operator, with all other operations acting locally on non-overlapping partitions of the search register. We present a recursive construction that, when the initial and target states both decompose as tensor products over these chosen partitions, admits an exact closed-form solution for th…

Overcoming the Lamb Shift in System-Bath Models via KMS Detailed Balance: High-Accuracy Thermalization with Time-Bounded Interactions

We investigate quantum thermal state preparation algorithms based on system-bath interactions and uncover a surprising phenomenon in the weak-coupling regime. We rigorously prove that, if the system-bath interaction is engineered so that the transition part of the approximate Lindbladian generator satisfies the KMS detailed balance condition, then the unique fixed point of the dynamics can be made arbitrarily close to the Gibbs state in the weak-coupling limit, regardless of the structure of the Lamb shift term. Importantly, this remains true even when the approximate Lindbladian differs substantially from the ideal Davies generator and the Lamb shift term does not commute with the thermal s…

Moderately relevant (score 5–7) — 3 papers

Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm

Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no further improvement, one may trade accuracy for speed in the partial search problem, where the task is to identify only the block containing the target item. The best known quantum algorithm for the partial search problem is the Grover-Radhakrishnan-Korepin (GRK) algorithm, whose optimality has long been conjectured but not proved. In this work, we prove the optimality of GRK in the large-block limit. We formulate partial search as a time-optimal control problem and apply the Pontryagin maximum principle to derive the switching-function dynamic…

Tensor Networks with Belief Propagation Cannot Feasibly Simulate Google's Quantum Echoes Experiment

In the recent quantum echoes experiment, Google Quantum AI showed that out-of-time-order correlators (OTOCs) for random-circuit time evolution can be measured using a quantum processor more than 10,000x faster than they can be computed to similar accuracy via classical computation. This claim was substantiated by comparison with a variety of state-of-the-art classical simulation methods. One classical simulation method that was not explicitly tested was tensor networks with belief propagation (TNBP). TNBP should be poorly suited to simulating Google's echoes experiment: the states involved are highly entangled, a challenge for tensor network states; and the Willow chip has dense 2D connectiv…

Observable-Guided Generator Selection for Improving Trainability in Quantum Machine Learning with a $ mathfrak{g} $-Purity Interpretation under Restricted Settings

To study generator design for parameterized unitaries in quantum machine learning (QML), we propose an observable-guided generator selection algorithm for $ n $-qubit Pauli-string generator pools. The proposed method selects generators based on two criteria: maintaining large first-order sensitivity in the gradients and suppressing second-order interference in the Hessian matrix. Under a restricted setting with Pauli-string observables and candidate generators, the selection problem can be formulated as a binary optimization problem that favors mutually anti-commuting generators. Numerical experiments on a synthetic dataset with a small-scale five-qubit circuit show that the selected generat…

Tangential (score 1–4) — 11 papers

Summary table

ScorearXiv IDShort titleOverlapsarXiv
82604.15435Quantum Search without Global DiffusionY4link
82604.15616Overcoming the Lamb Shift in System-Bath Models via KMS Detailed Bala…Y5link
72604.15886Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithmY4link
52604.15427Tensor Networks with Belief Propagation Cannot Feasibly Simulate Goog…Y3,Y5link
52604.15693Observable-Guided Generator Selection for Improving Trainability in Q…Y5link
42604.15441Quantum computation at the edge of chaosY1,Y3link
32604.15432Efficient $n$-qubit entangling operations via a superconducting quant…Y6link
32604.15603A Game Theoretic Approach for Optimizing Quantum Error Budget Distrib…Y3link
32604.15666Explainable quantum regression algorithm with encoded data structureY3link
32604.15920Local qubit invariants on quantum computerY6link
32604.16179Quantum-Inspired Simulation of 2D Turbulent Rayleigh-Bénard ConvectionY5link
22604.15895Digital Predistortion for Flux Control of Tunable Superconducting Qub…Y6link
22604.16144Gravitationally induced wave-function collapse from dynamical bifurca…Y6link
22604.16276Aziz and Howl's Gravity-Induced Entanglement Channel is Essentially C…Y6link
22604.16283Boson correlations are spurious for classical statesY6link
22604.16292Fast, High-Fidelity Erasure Detection of Dual-Rail Qubits with Symmet…Y6link