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Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Entanglement, separability and correlation topology of quantum systems over parametric space of interaction potential
Basudev Nag Chowdhury·Dec 13, 2024
The standard understanding of formal quantum theory is based upon the belief that the state of two interacting quantum systems can jointly evolve as, either an entangled state, e.g. in case of measurement or decoherence, or a separable state, e.g. in...
A Practical Quantum Hoare Logic with Classical Variables, I
Mingsheng Ying·Dec 13, 2024
In this paper, we present a Hoare-style logic for reasoning about quantum programs with classical variables. Our approach offers several improvements over previous work: (1) Enhanced expressivity of the programming language: Our logic applies to quan...
A 3D lattice defect and efficient computations in topological MBQC
Gabrielle Tournaire, Marvin Schwiering, Robert Raussendorf +1 more·Dec 13, 2024
We describe an efficient, fully fault-tolerant implementation of Measurement-Based Quantum Computation (MBQC) in the 3D cluster state. The two key novelties are (i) the introduction of a lattice defect in the underlying cluster state and (ii) the use...
Quantum error correction with Goppa codes from maximal curves: Design, simulation, and performance
Vahid Nourozi·Dec 13, 2024
This paper characterizes Goppa codes of certain maximal curves over finite fields defined by equations of the form $y^n = x^m + x$. We investigate Algebraic Geometric and quantum stabilizer codes associated with these maximal curves and propose modif...
Exchange-symmetrized qudit Bell bases and Bell-state distinguishability
Oscar Scholin, T. Lynn·Dec 13, 2024
Entanglement of qudit pairs, with single particle Hilbert space dimension $d$, has important potential for quantum information processing, with applications in cryptography, algorithms, and error correction. For a pair of qudits of arbitrary even dim...
Nonconvex optimization strategy for computing convex-roof entanglement
Jimmie Adriazola, Katarzyna Roszak·Dec 13, 2024
We develop a numerical methodology for the computation of entanglement measures for mixed quantum states. Using the well-known Schr\"odinger-HJW theorem, the computation of convex roof entanglement measures is reframed as a search for unitary matrice...
Strong Structural Bounds for MaxSAT: The Fine Details of Using Neuromorphic and Quantum Hardware Accelerators
Max Bannach, Jai Grover, Markus Hecher·Dec 13, 2024
Hardware accelerators like quantum annealers or neuromorphic chips are capable of finding the ground state of a Hamiltonian. A promising route in utilizing these devices is via methods from automated reasoning: The problem at hand is first encoded in...
Analysis and Suppression of Errors in Quantum Random Access Memory under Extended Noise Models
Rohan Mehta, Gideon Lee, Liang Jiang·Dec 13, 2024
Quantum random access memory (QRAM) is required for numerous quantum algorithms and network architectures. Previous work has shown that the ubiquitous bucket-brigade QRAM is highly resilient to arbitrary local incoherent noise channels occurring duri...
Hybrid of Gradient Descent and Semidefinite Programming for Certifying Multipartite Entanglement Structure
Kai Wu, Zhihua Chen, Zhen-Peng Xu +2 more·Dec 13, 2024
Multipartite entanglement is a crucial resource for a wide range of quantum information processing tasks, including quantum metrology, quantum computing, and quantum communication. The verification of multipartite entanglement, along with an understa...
Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers
Navnil Choudhury, Chaithanya Naik Mude, Sanjay Das +3 more·Dec 13, 2024
As quantum computing rapidly advances, its near-term applications are becoming increasingly evident. However, the high cost and under-utilization of quantum resources are prompting a shift from single-user to multi-user access models. In a multi-tena...
Quantum evolution of mixed states and performance of quantum heat engines
Anatoly A. Svidzinsky, Wenzhuo Zhang·Dec 12, 2024
We introduce a technique for calculating the density operator time evolution along the lines of Heisenberg representation of quantum mechanics. Using this technique, we find the exact solution for the quantum evolution of two and three coupled harmon...
Omnidirectional shuttling to avoid valley excitations in Si/SiGe quantum wells
Róbert Németh, Vatsal K. Bandaru, Pedro Alves +7 more·Dec 12, 2024
Conveyor-mode shuttling is a key approach for implementing intermediate-range coupling between electron-spin qubits in quantum dots. Initial implementations are encouraging; however, long shuttling trajectories are guaranteed to encounter regions of ...
Multi-Layer Cycle Benchmarking for high-accuracy error characterization
Alessio Calzona, Miha Papič, Pedro Figueroa-Romero +1 more·Dec 12, 2024
Accurate noise characterization is essential for reliable quantum computation. Effective Pauli noise models have emerged as powerful tools, offering detailed description of the error processes with a manageable number of parameters, which guarantees ...
Q-Fly: An Optical Interconnect for Modular Quantum Computers
Daisuke Sakuma, Tomoki Tsuno, Hikaru Shimizu +11 more·Dec 12, 2024
Much like classical supercomputers, scaling up quantum computers requires an optical interconnect. However, signal attenuation leads to irreversible qubit loss, making quantum interconnect design guidelines and metrics different from conventional com...
A New Algorithm for Applying Sequences of Affine Transformations in Quantum Circuits
Anish Giri, David Hyde, Kalman Varga·Dec 12, 2024
This paper introduces a robust and scalable framework for implementing nested affine transformations in quantum circuits. Utilizing Hadamard-supported conditional initialization and block encoding, the proposed method systematically applies sequentia...
High Optical Access Cryogenic System for Rydberg Atom Arrays with a 3000-Second Trap Lifetime
Zhenpu Zhang, T.-W. Hsu, Tingyou Tan +4 more·Dec 12, 2024
We present an optical tweezer array of 87Rb atoms housed in an cryogenic environment that successfully combines a 4-K cryopumping surface, a <50-K cold box surrounding the atoms, and a room-temperature high-numerical-aperture objective lens. We demo...
Application of quantum annealing for scalable robotic assembly line optimization: a case study
Moritz Willmann, Marcel Albus, Jan Schnabel +1 more·Dec 12, 2024
The even distribution and optimization of tasks across resources and workstations is a critical process in manufacturing aimed at maximizing efficiency, productivity, and profitability, known as Robotic Assembly Line Balancing (RALB). With the increa...
Branch Sequentialization in Quantum Polytime
Emmanuel Hainry, Romain P'echoux, Mário Silva·Dec 12, 2024
Quantum algorithms leverage the use of quantumly-controlled data in order to achieve computational advantage. This implies that the programs use constructs depending on quantum data and not just classical data such as measurement outcomes. Current co...
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
Vivek Sabarad, Vishal Varma, T. S. Mahesh·Dec 12, 2024
Kernel methods map data into high-dimensional spaces, enabling linear algorithms to learn nonlinear functions without explicitly storing the feature vectors. Quantum kernel methods promise efficient learning by encoding feature maps into exponentiall...
Regression and Classification with Single-Qubit Quantum Neural Networks
Leandro C. Souza, B. C. Guingo, Gilson A. Giraldi +1 more·Dec 12, 2024
Since classical machine learning has become a powerful tool for developing data-driven algorithms, quantum machine learning is expected to similarly impact the development of quantum algorithms. The literature reflects a mutually beneficial relations...