Ermakov-Lewis Invariants in Stationary Bohm-Madelung Quantum Mechanics

This paper demonstrates that in stationary Bohm-Madelung quantum mechanics with a diagonal and separable Hamiltonian, the continuity constraint naturally induces an Ermakov-Pinney equation, revealing a hidden invariant structure that encodes the quantum potential as a geometric curvature contribution rather than a dynamical term, thereby providing exact stationary amplitudes and clarifying their ontological status as geometrically encoded structures.

Anand Aruna KumarTue, 10 Ma⚛️ quant-ph

Wigner Cat Phases: A finely tunable system for exploring the transition to quantum chaos

This paper proposes a tunable quantum system combining a frozen qubit with a chaotic thermal bath that, under selective state observation, exhibits a novel "Wigner Cat Phase" characterized by bimodal "cat-ears" eigenstates and heavy-tailed level spacing statistics, representing a distinct non-thermal transition between quantum chaos and many-body localization that challenges standard integrability detection methods.

M. SüzenTue, 10 Ma⚛️ quant-ph

A Mutual Information-based Metric for Temporal Expressivity and Trainability Estimation in Quantum Policy Gradient Pipelines

This paper proposes a mutual information-based metric called MI-TET to quantify temporal expressivity and trainability in quantum policy gradient pipelines, demonstrating that the mutual information between action distributions and discretized rewards provides an upper bound for gradient norms and enables a prescreening criterion for initialization-time gradient fragility.

Jaehun Jeong, Donghwa Ji, Kabgyun JeongTue, 10 Ma⚛️ quant-ph

Reinforcement Learning Control of Quantum Error Correction

This paper introduces a reinforcement learning framework that unifies quantum error correction with continuous system calibration, experimentally demonstrating a 3.5-fold improvement in logical stability on a superconducting processor and achieving record low logical error rates while proving the approach's scalability for future fault-tolerant quantum computing.

Volodymyr Sivak, Alexis Morvan, Michael Broughton, Rodrigo G. Cortiñas, Johannes Bausch, Andrew W. Senior, Matthew Neeley, Alec Eickbusch, Noah Shutty, Laleh Aghababaie Beni, James S. Spencer, Francisco J. H Heras, Thomas Edlich, Dmitry Abanin, Amira Abbas, Rajeev Acharya, Georg Aigeldinger, Ross Alcaraz, Sayra Alcaraz, Trond I. Andersen, Markus Ansmann, Frank Arute, Kunal Arya, Walt Askew, Nikita Astrakhantsev, Juan Atalaya, Brian Ballard, Joseph C. Bardin, Hector Bates, Andreas Bengtsson, Majid Bigdeli Karimi, Alexander Bilmes, Simon Bilodeau, Felix Borjans, Alexandre Bourassa, Jenna Bovaird, Dylan Bowers, Leon Brill, Peter Brooks, David A. Browne, Brett Buchea, Bob B. Buckley, Tim Burger, Brian Burkett, Nicholas Bushnell, Jamal Busnaina, Anthony Cabrera, Juan Campero, Hung-Shen Chang, Silas Chen, Ben Chiaro, Liang-Ying Chih, Agnetta Y. Cleland, Bryan Cochrane, Matt Cockrell, Josh Cogan, Roberto Collins, Paul Conner, Harold Cook, William Courtney, Alexander L. Crook, Ben Curtin, Martin Damyanov, Sayan Das, Dripto M. Debroy, Sean Demura, Paul Donohoe, Ilya Drozdov, Andrew Dunsworth, Valerie Ehimhen, Aviv Moshe Elbag, Lior Ella, Mahmoud Elzouka, David Enriquez, Catherine Erickson, Vinicius S. Ferreira, Marcos Flores, Leslie Flores Burgos, Ebrahim Forati, Jeremiah Ford, Austin G. Fowler, Brooks Foxen, Masaya Fukami, Alan Wing Lun Fung, Lenny Fuste, Suhas Ganjam, Gonzalo Garcia, Christopher Garrick, Robert Gasca, Helge Gehring, Robert Geiger, Élie Genois, William Giang, Dar Gilboa, James E. Goeders, Edward C. Gonzales, Raja Gosula, Stijn J. de Graaf, Alejandro Grajales Dau, Dietrich Graumann, Joel Grebel, Alex Greene, Jonathan A. Gross, Jose Guerrero, Loïck Le Guevel, Tan Ha, Steve Habegger, Tanner Hadick, Ali Hadjikhani, Michael C. Hamilton, Matthew P. Harrigan, Sean D. Harrington, Jeanne Hartshorn, Stephen Heslin, Paula Heu, Oscar Higgott, Reno Hiltermann, Hsin-Yuan Huang, Mike Hucka, Christopher Hudspeth, Ashley Huff, William J. Huggins, Evan Jeffrey, Shaun Jevons, Zhang Jiang, Xiaoxuan Jin, Chaitali Joshi, Pavol Juhas, Andreas Kabel, Dvir Kafri, Hui Kang, Kiseo Kang, Amir H. Karamlou, Ryan Kaufman, Kostyantyn Kechedzhi, Tanuj Khattar, Mostafa Khezri, Seon Kim, Can M. Knaut, Bryce Kobrin, Fedor Kostritsa, John Mark Kreikebaum, Ryuho Kudo, Ben Kueffler, Arun Kumar, Vladislav D. Kurilovich, Vitali Kutsko, Nathan Lacroix, David Landhuis, Tiano Lange-Dei, Brandon W. Langley, Pavel Laptev, Kim-Ming Lau, Justin Ledford, Joy Lee, Kenny Lee, Brian J. Lester, Wendy Leung, Lily Li, Wing Yan Li, Ming Li, Alexander T. Lill, William P. Livingston, Matthew T. Lloyd, Aditya Locharla, Laura De Lorenzo, Daniel Lundahl, Aaron Lunt, Sid Madhuk, Aniket Maiti, Ashley Maloney, Salvatore Mandrà, Leigh S. Martin, Orion Martin, Eric Mascot, Paul Masih Das, Dmitri Maslov, Melvin Mathews, Cameron Maxfield, Jarrod R. McClean, Matt McEwen, Seneca Meeks, Kevin C. Miao, Zlatko K. Minev, Reza Molavi, Sebastian Molina, Shirin Montazeri, Charles Neill, Michael Newman, Anthony Nguyen, Murray Nguyen, Chia-Hung Ni, Murphy Yuezhen Niu, Logan Oas, Raymond Orosco, Kristoffer Ottosson, Alice Pagano, Agustin Di Paolo, Sherman Peek, David Peterson, Alex Pizzuto, Elias Portoles, Rebecca Potter, Orion Pritchard, Michael Qian, Chris Quintana, Arpit Ranadive, Matthew J. Reagor, Rachel Resnick, David M. Rhodes, Daniel Riley, Gabrielle Roberts, Roberto Rodriguez, Emma Ropes, Lucia B. De Rose, Eliott Rosenberg, Emma Rosenfeld, Dario Rosenstock, Elizabeth Rossi, Pedram Roushan, David A. Rower, Robert Salazar, Kannan Sankaragomathi, Murat Can Sarihan, Kevin J. Satzinger, Max Schaefer, Sebastian Schroeder, Henry F. Schurkus, Aria Shahingohar, Michael J. Shearn, Aaron Shorter, Vladimir Shvarts, Spencer Small, W. Clarke Smith, David A. Sobel, Barrett Spells, Sofia Springer, George Sterling, Jordan Suchard, Aaron Szasz, Alexander Sztein, Madeline Taylor, Jothi Priyanka Thiruraman, Douglas Thor, Dogan Timucin, Eifu Tomita, Alfredo Torres, M. Mert Torunbalci, Hao Tran, Abeer Vaishnav, Justin Vargas, Sergey Vdovichev, Guifre Vidal, Catherine Vollgraff Heidweiller, Meghan Voorhees, Steven Waltman, Jonathan Waltz, Shannon X. Wang, Brayden Ware, James D. Watson, Yonghua Wei, Travis Weidel, Theodore White, Kristi Wong, Bryan W. K. Woo, Christopher J. Wood, Maddy Woodson, Cheng Xing, Z. Jamie Yao, Ping Yeh, Bicheng Ying, Juhwan Yoo, Noureldin Yosri, Elliot Young, Grayson Young, Adam Zalcman, Ran Zhang, Yaxing Zhang, Ningfeng Zhu, Nicholas Zobrist, Zhenjie Zou, Ryan Babbush, Dave Bacon, Sergio Boixo, Yu Chen, Zijun Chen, Michel Devoret, Monica Hansen, Jeremy Hilton, Cody Jones, Julian Kelly, Alexander N. Korotkov, Erik Lucero, Anthony Megrant, Hartmut Neven, William D. Oliver, Ganesh Ramachandran, Vadim Smelyanskiy, Paul V. KlimovTue, 10 Ma⚛️ quant-ph

Characterizing Pauli Propagation via Operator Complexity in Quantum Spin Systems

This paper establishes a theoretical and numerical framework linking operator complexity, quantified by Operator Stabilizer Rényi entropy, to the efficiency of Pauli-propagation methods for simulating real-time dynamics in quantum spin systems, demonstrating that truncation accuracy is governed by this complexity and that the method achieves high performance in both free and interacting regimes.

Yuguo Shao, Song Cheng, Zhengwei LiuTue, 10 Ma⚛️ quant-ph

Sequential Quantum Measurements and the Instrumental Group Algebra

This paper introduces the instrumental group algebra (IGA) as a Banach algebra framework for sequential quantum measurements, demonstrating that the time-dependent Kraus-operator density (KOD) evolves via a classical Kolmogorov equation and that combining instruments corresponds to convolution within the IGA, thereby providing a unified mathematical structure for observables that cannot be measured by orthogonal projections.

Christopher S. JacksonTue, 10 Ma⚛️ quant-ph

Fast CZ Gate via Energy-Level Engineering in Superconducting Qubits with a Tunable Coupler

This paper proposes an energy-level engineering scheme using a tunable coupler to achieve a rapid, nonadiabatic controlled-Z gate with over 99.99% fidelity in just 22 ns, demonstrating robustness against anharmonicity offsets and spectator qubit interference to potentially extend circuit execution depth.

Benzheng Yuan, Chaojie Zhang, Chuanbing Han, Shuya Wang, Peng Xu, Huihui Sun, Qing Mu, Lixin Wang, Bo Zhao, Weilong Wang, Zheng ShanTue, 10 Ma⚛️ quant-ph

Quantum Estimation with State Symmetry-Induced Optimal Measurements

This paper establishes that state symmetries provide a general principle for identifying optimal measurements in quantum metrology, demonstrating how local symmetries enable Heisenberg-scaling precision with local measurements on graph states and extending these advantages to stabilizer-code subspaces that offer high precision, noise resilience, and built-in error correction.

Jia-Xuan Liu, Hai-Long Shi, Chunfeng Wu, Sixia YuTue, 10 Ma⚛️ quant-ph

Negativity Percolation in Continuous-Variable Quantum Networks

This paper introduces negativity percolation theory (NegPT) for continuous-variable quantum networks, revealing a unique mixed-order phase transition characterized by abrupt global entanglement changes and long-range correlations that distinguish these systems from discrete-variable counterparts and expose critical vulnerabilities in feedback stabilization near the percolation threshold.

Yaqi Zhao, Kan He, Yongtao Zhang, Jinchuan Hou, Jianxi Gao, Shlomo Havlin, Xiangyi MengTue, 10 Ma⚛️ quant-ph

A Neural-Guided Variational Quantum Algorithm for Efficient Sign Structure Learning in Hybrid Architectures

The paper introduces sVQNHE, a hybrid neural-guided variational quantum algorithm that decouples amplitude and sign learning to significantly reduce measurement costs, mitigate barren plateaus, and outperform baseline methods in solving complex many-body and combinatorial optimization problems on near-term quantum hardware.

Mengzhen Ren, Yu-Cheng Chen, Yangsen Ye, Min-Hsiu Hsieh, Alice Hu, Chang-Yu HsiehTue, 10 Ma⚛️ quant-ph

Optimizing Sparse SYK

This paper demonstrates that a provable quantum-classical separation persists in the sparse Sachdev-Ye-Kitaev (SYK) model for sparsification probabilities pΩ(logn/n)p \geq \Omega(\log n/n), as efficient quantum algorithms achieve constant-factor ground state approximations while classical Gaussian states are limited to only Θ(1/n)\Theta(1/\sqrt{n})-factor approximations.

Matthew Ding, Robbie King, Bobak T. Kiani, Eric R. AnschuetzTue, 10 Ma⚛️ quant-ph