Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Mathematical Structure for Amplitude-Mixing Error-Transparent Gates for Binomial Codes
Owen C. Wetherbee, Saswata Roy, Baptiste Royer +1 more·Dec 12, 2024
Bosonic encodings of quantum information offer hardware-efficient, noise-biased approaches to quantum error correction relative to qubit register encodings. Implementations have focused in particular on error correction of stored, idle quantum inform...
A simple algorithm to reflect through eigenspaces of unitaries
Baptiste Claudon·Dec 12, 2024
Reflections are omnipresent tools in quantum algorithms. We consider the task of reflecting through the eigenspace of an implementable unitary. Such reflections are generally designed using phase estimation or linear combination of unitaries. These m...
Data efficient prediction of excited-state properties using quantum neural networks
Manuel Hagelueken, Marco F Huber, Marco Roth·Dec 12, 2024
Understanding the properties of excited states of complex molecules is crucial for many chemical and physical processes. Calculating these properties is often significantly more resource-intensive than calculating their ground state counterparts. We ...
Clifford Perturbation Approximation for Quantum Error Mitigation
Ruiqi Zhang, Yuguo Shao, Fuchuan Wei +3 more·Dec 12, 2024
Quantum error mitigation (QEM) is critical for harnessing the potential of near-term quantum devices. Particularly, QEM protocols can be designed based on machine learning, where the mapping between noisy computational outputs and ideal ones can be l...
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1 more·Dec 12, 2024
In this paper, we introduce Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning (Dist-QTRL), a novel approach to addressing the scalability challenges of traditional Reinforcement Learning (RL) by integrating quantum computing principl...
Control Flow Adaption: An Efficient Simulation Method for Noisy Quantum Networks
Huiping Lin, Ruixuan Deng, Chris Z. Yao +2 more·Dec 12, 2024
Quantum network research at both the software stack and hardware implementation level has become an exciting area of quantum information science. Although demonstrations of small-scale quantum networks have emerged in the past decade, quantum communi...
A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
Ishaan Kannan, R. King, Leo Zhou·Dec 12, 2024
Local Hamiltonian Problems (LHPs) are important problems that are computationally QMA-complete and physically relevant for many-body quantum systems. Quantum MaxCut (QMC), which equates to finding ground states of the quantum Heisenberg model, is the...
Restricted Monte Carlo wave function method and Lindblad equation for identifying entangling open-quantum-system dynamics
Laura Ares, Julien Pinske, Benjamin Hinrichs +2 more·Dec 11, 2024
We develop an extension of the Monte Carlo wave function approach that unambiguously identifies dynamical entanglement in general composite, open systems. Our algorithm performs tangential projections onto the set of separable states, leading to clas...
Separability Lindblad equation for dynamical open-system entanglement
Julien Pinske, Laura Ares, Benjamin Hinrichs +2 more·Dec 11, 2024
Providing entanglement for the design of quantum technologies in the presence of noise constitutes today's main challenge in quantum information science. A framework is required that assesses the build-up of entanglement in realistic settings. In thi...
Minimizing resource overhead in fusion-based quantum computation using hybrid spin-photon devices
Stephen C. Wein, Timothée Goubault de Brugière, Luka Music +3 more·Dec 11, 2024
We present three schemes for constructing a (2,2)-Shor-encoded 6-ring photonic resource state for fusion-based quantum computing, each relying on a different type of photon source. We benchmark these architectures by analyzing their ability to achiev...
Measurement-based quantum convolutional neural network for deep learning
Yifan Sun, Xiangdong Zhang·Dec 11, 2024
Recently, quantum convolutional neural networks (QCNNs) are proposed, harnessing the power of quantum computing for faster training compared to the classical counterparts. However, this framework for deep learning also relies on multiple processing l...
A mechanical quantum memory for microwave photons
A. Bozkurt, Omid Golami, Yue Yu +2 more·Dec 11, 2024
Superconducting qubits possess outstanding capabilities for processing quantum information in the microwave domain; however they have limited coherence times. An interface between photons and phonons could allow quantum information to be stored in lo...
High Dimensional Quantum Eavesdropping: A Hypothetical Attack on BB84&SSP
Christopher Dunne·Dec 11, 2024
Quantum key distribution algorithms are considered secure because they leverage quantum phenomena to provide security. As such, eavesdroppers can be detected by analyzing the error rate in the shared key obtained by the parties performing the key exc...
A quantum-classical reinforcement learning model to play Atari games
Dominik Freinberger, Julian Lemmel, R. Grosu +1 more·Dec 11, 2024
Recent advances in reinforcement learning have demonstrated the potential of quantum learning models based on parametrized quantum circuits as an alternative to deep learning models. On the one hand, these findings have shown the ultimate exponential...
Robustness of longitudinal transmon readout to ionization
Alex A. Chapple, Alexander McDonald, Manuel H. Muñoz-Arias +1 more·Dec 10, 2024
Multi-photon processes deteriorate the quantum non-demolition (QND) character of the dispersive readout in circuit QED, causing readout to lag behind single and two-qubit gates, in both speed and fidelity. Alternative methods such as the longitudinal...
Bootstrapping, autonomous testing, and initialization system for Si/Si$_x$Ge$_{1-x}$ multi-quantum-dot devices
Tyler J. Kovach, Daniel Schug, M. A. Wolfe +7 more·Dec 10, 2024
Semiconductor quantum dot (QD) devices have become central to advancements in spin-based quantum computing. However, the increasing complexity of modern QD devices makes calibration and control -- particularly at elevated temperatures -- a bottleneck...
Controlling and engineering a quantum state in a multi-qubit system employing the quantum Zeno effect
Dhruva Naik, G. Rajpoot, S. Jain·Dec 10, 2024
Controlling quantum jumps is crucial for reliable quantum computing. In this work, we demonstrate how the quantum Zeno effect can be applied to a two qubit system interacting with an ancilla which is a component of surface code architecture used to c...
AC/DC: Automated Compilation for Dynamic Circuits
Siyuan Niu, Efekan Kokcu, Anupam Mitra +6 more·Dec 10, 2024
Dynamic quantum circuits incorporate mid-circuit measurements and feed-forward operations originally intended to realize Quantum Error Correction. This paradigm has recently been utilized to prepare certain states and long-range entangling gates as w...
Deterministic Storage of Quantum Information in the Genetic Code
Roberto Rivelino·Dec 10, 2024
DNA has been proposed as a chemical platform for computing and data storage, paving the way for building DNA-based computers. Recently, DNA has been hypothesized as an ideal quantum computer with the base pairs working as Josephson junctions. There a...
Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer.
Kenji Sugisaki, Shutaroh Kanno, Toshinari Itoko +2 more·Dec 10, 2024
Quantum-selected configuration interaction (QSCI) is an approach for quantum chemical calculations using current quantum computers. In conventional QSCI, Slater determinants used for the wave function expansion are sampled by iteratively performing a...