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Relaying Quantum Information
Yigal Ilin, Uzi Pereg
https://arxiv.org/abs/2507.06770 https://arxiv.org/pdf/2507.06770

Relaying Quantum Information
Quantum relays are central to both quantum communication and distributed quantum computing, enabling long-distance transmission and modular architectures. Unlike classical repeaters, quantum repeaters preserve coherence without amplifying quantum information, relying on entanglement swapping and quantum error correction to overcome loss and decoherence. In this work, we investigate the transmission of quantum information via quantum relay channels. Our three-terminal relay model captures the tr…

IBM plans to build IBM Quantum Starling, a "fault-tolerant" quantum computer with 20,000x the power of today's quantum computers, in New York state by 2029 (Wall Street Journal)
https://www.wsj.com…

Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators
Hassen Nigatu, Shi Gaokun, Li Jituo, Wang Jin, Lu Guodong, Howard Li
https://arxiv.org/abs/2509.07216

Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators
Optimizing high-degree of freedom robotic manipulators requires searching complex, high-dimensional configuration spaces, a task that is computationally challenging for classical methods. This paper introduces a quantum native framework that integrates quantum machine learning with Grover's algorithm to solve kinematic optimization problems efficiently. A parameterized quantum circuit is trained to approximate the forward kinematics model, which then constructs an oracle to identify optimal con…

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Dani\"elle Schuman, Thomas Cope, Steffen Udluft
https://arxiv.org/abs/2509.07614

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Quantum policy evaluation (QPE) is a reinforcement learning (RL) algorithm which is quadratically more efficient than an analogous classical Monte Carlo estimation. It makes use of a direct quantum mechanical realization of a finite Markov decision process, in which the agent and the environment are modeled by unitary operators and exchange states, actions, and rewards in superposition. Previously, the quantum environment has been implemented and parametrized manually for an illustrative benchm…

Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors
Yulin Chi, Hongyi Shi, Wen Zheng, Haoyang Cai, Yu Zhang, Xinsheng Tan, Shaoxiong Li, Jianwei Wang, Jiangyu Cui, Man-Hong Yung, Yang Yu
https://arxiv.org/abs/2506.07039

Variational quantum algorithms with invariant probabilistic error cancellation on noisy quantum processors
In the noisy intermediate-scale quantum era, emerging classical-quantum hybrid optimization algorithms, such as variational quantum algorithms (VQAs), can leverage the unique characteristics of quantum devices to accelerate computations tailored to specific problems with shallow circuits. However, these algorithms encounter biases and iteration difficulties due to significant noise in quantum processors. These difficulties can only be partially addressed without error correction by optimizing h…

Bounding quantum uncommon information with quantum neural estimators
Donghwa Ji, Junseo Lee, Myeongjin Shin, IlKwon Sohn, Kabgyun Jeong
https://arxiv.org/abs/2507.06091

Bounding quantum uncommon information with quantum neural estimators
In classical information theory, uncommon information refers to the amount of information that is not shared between two messages, and it admits an operational interpretation as the minimum communication cost required to exchange the messages. Extending this notion to the quantum setting, quantum uncommon information is defined as the amount of quantum information necessary to exchange two quantum states. While the value of uncommon information can be computed exactly in the classical case, no …

Measuring the non-Abelian Quantum Phase with the Algorithm of Quantum Phase Estimation
Seng Ghee Tan, Son Hsien Chen, Ying-Cheng Yang, Yen-Fu Chen, Yen-Lin Chen, Chia-Hsiu Hsieh
https://arxiv.org/abs/2509.07716

Measuring the non-Abelian Quantum Phase with the Algorithm of Quantum Phase Estimation
We propose an approach to measure the quantum phase of an electron in a non-Abelian system using the algorithm of Quantum Phase Estimation (QPE). The discrete-path systems were previously studied in the context of square or rectangular rings. Present focus is on measuring the quantum phases. The merit of the algorithm approach is two-fold. First off, it eliminates the need for an interferometric set up. Quantum phase is measured by reading off of measurable qubit states of the QPE modules. Seco…

Quantum transduction via generalized continuous-variable teleportation
Quntao Zhuang
https://arxiv.org/abs/2506.06899 https://arxiv.o…

Quantum transduction via generalized continuous-variable teleportation
Quantum transduction converts quantum states between different frequencies. Similarly, quantum teleportation transfers quantum states between different systems. While often appreciated for quantum communication between distant locations, teleportation can also operate between different frequencies. In terms of bosonic modes, quantum teleportation relies on two-mode squeezing -- squeezed on the balanced Einstein-Podolsky-Rosen (EPR) quadratures -- for entanglement and a balanced beamsplitter plu…

Quantum correlations in molecular cavity optomechanics
E. Kongkui Berinyuy, D. R. Kenigoule Massembele, P. Djorwe, R. Altuijri, M. R. Eid, A. -H. Abdel-Aty, S. G. Nana Engo
https://arxiv.org/abs/2506.07277

Quantum correlations in molecular cavity optomechanics
In quantum information, quantum correlations--particularly entanglement, EPR steering, and quantum discord--stand as interesting resources, powering breakthroughs from secure communication and quantum teleportation to efficient quantum computation. Here, we unveil a theoretical framework for generating and controlling these vital quantum phenomena within a double-cavity molecular optomechanical (McOM) system. This innovative approach leverages strong interactions between confined optical fields…

Universal Long-Time Behavior of the Quantum Fisher Information in Dynamical Quantum Phase Transitions
J. Mumford, R. J. Lewis-Swan
https://arxiv.org/abs/2507.05579

Universal Long-Time Behavior of the Quantum Fisher Information in Dynamical Quantum Phase Transitions
We investigate dynamical quantum phase transitions (DQPTs) in quantum systems that possess well-defined classical limits, focusing on the spinor Bose-Einstein condensate and the Lipkin-Meshkov-Glick model. We diagnose the DQPTs with the long-time average of the quantum Fisher information (QFI) showing that it abruptly changes at the transition point. Using mean-field and semiclassical approximations, we demonstrate that the long-time average of the QFI reveals universal behavior that persists a…