Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Motion Segmentation
F. Arrigoni, W. Menapace, Marcel Seelbach Benkner +2 more·Mar 24, 2022
Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images. This paper introduces the first algorithm for motion segmentation that relies on adiabatic quantum optimization of the objective f...
Encoding quantum bits in bound electronic states of a graphene nanotorus
J. Furtado, A. Ramos, J. E. G. Silva +2 more·Mar 24, 2022
We propose to use the quantum states of an electron trapped on the inner surface of a graphene nanotorus to realize as a new kind of physical quantum bit, which can be used to encode quantum information. Fundamental tasks for quantum information proc...
Adaptive variational algorithms for quantum Gibbs state preparation
Ada Warren, Linghua Zhu, N. Mayhall +2 more·Mar 23, 2022
The preparation of Gibbs thermal states is an important task in quantum computation with ap-plications in quantum simulation, quantum optimization, and quantum machine learning. However, many algorithms for preparing Gibbs states rely on quantum subr...
The power of qutrits for non-adaptive measurement-based quantum computing
Jelena Mackeprang, Daniel Bhatti, M. Hoban +1 more·Mar 23, 2022
Non-locality is not only one of the most prominent quantum features but can also serve as a resource for various information-theoretical tasks. Analysing it from an information-theoretical perspective has linked it to applications such as non-adaptiv...
Factor Graphs for Quantum Information Processing
Michael X. Cao·Mar 23, 2022
[...] In this thesis, we are interested in generalizing factor graphs and the relevant methods toward describing quantum systems. Two generalizations of classical graphical models are investigated, namely double-edge factor graphs (DeFGs) and quantum...
Effective calculation of the Green's function in the time domain on near-term quantum processors
Francesco Libbi, Jacopo Rizzo, F. Tacchino +2 more·Mar 23, 2022
We propose an improved quantum algorithm to calculate the Green's function through real-time propagation, and use it to compute the retarded Green's function for the 2-, 3- and 4-site Hubbard models. This novel protocol significantly reduces the numb...
Quantum-enhanced Markov chain Monte Carlo
David Layden, G. Mazzola, R. Mishmash +4 more·Mar 23, 2022
A quantum algorithm is introduced that performs Markov chain Monte Carlo to sample from the Boltzmann distribution of Ising models, demonstrating, through experiments and simulations, a polynomial speedup compared with classical alternatives. Quantum...
Quantum Logic Enhanced Sensing in Solid-State Spin Ensembles.
N. Arunkumar, Kevin S. Olsson, Jner Tzern Oon +7 more·Mar 23, 2022
We demonstrate quantum logic enhanced sensitivity for a macroscopic ensemble of solid-state, hybrid two-qubit sensors. We achieve over a factor of 30 improvement in the single-shot signal-to-noise ratio, translating to an ac magnetic field sensitivit...
Reducing Memory Requirements of Quantum Optimal Control
S. Narayanan, Thomas Propson, Marcelo Bongarti +2 more·Mar 23, 2022
Quantum optimal control problems are typically solved by gradient-based algorithms such as GRAPE, which suffer from exponential growth in storage with increasing number of qubits and linear growth in memory requirements with increasing number of time...
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization
A. Yurtsever, Tolga Birdal, Vladislav Golyanik·Mar 23, 2022
We present a hybrid classical-quantum framework based on the Frank-Wolfe algorithm, Q-FW, for solving quadratic, linearly-constrained, binary optimization problems on quantum annealers (QA). The computational premise of quantum computers has cultivat...
String order melting of spin-1 particle chains in superconducting transmons using optimal control
Paul Kairys, T. Humble·Mar 23, 2022
Utilizing optimal control to simulate a model Hamiltonian is an emerging strategy that leverages the intrinsic physics of a device with digital quantum simulation methods. Here we evaluate optimal control for probing the non-equilibrium properties of...
Randomized Benchmarking beyond Groups
Jianxin Chen, D. Ding, Cupjin Huang·Mar 23, 2022
Randomized benchmarking (RB) is the gold standard for experimentally evaluating the quality of quantum operations. The current framework for RB is centered on groups and their representations, but this can be problematic. For example, Clifford circui...
Charge detection using a WSe$_2$ van der Waals heterostructure
Justin Boddison-Chouinard, A. Bogan, N. Fong +6 more·Mar 22, 2022
Detecting single charging events in quantum devices is an important step towards realizing practical quantum circuits for quantum information processing. In this work, we demonstrate that van der Waals heterostructure devices with gated nano-constric...
A hybrid quantum image edge detector for the NISQ era
A. Geng, A. Moghiseh, C. Redenbach +1 more·Mar 22, 2022
Edges are image locations where the gray value intensity changes suddenly. They are among the most important features to understand and segment an image. Edge detection is a standard task in digital image processing, solved, for example, using filter...
QDistRnd: A GAP package for computing the distance of quantum error-correcting codes
L. Pryadko, Vadim A. Shabashov, Valerii K. Kozin·Mar 22, 2022
The GAP package QDistRnd implements a probabilistic algorithm for finding the minimum distance of a quantum low-density parity-check code linear over a finite field GF(q). At each step several codewords are randomly drawn from a distribution biased t...
Linear-depth quantum circuits for multi-qubit controlled gates
A. J. D. Silva, D. Park·Mar 22, 2022
Quantum circuit depth minimization is critical for practical applications of circuit-based quantum computation. In this work, we present a systematic procedure to decompose multiqubit controlled unitary gates, which is essential in many quantum algor...
Double-Transmon Coupler: Fast Two-Qubit Gate with No Residual Coupling for Highly Detuned Superconducting Qubits
Hayato Goto·Mar 22, 2022
Although two-qubit entangling gates are necessary for universal quantum computing, they are notoriously difficult to implement with high fidelity. Recently, tunable couplers have become a key component for realizing high-fidelity two-qubit gates in s...
Efficient two-dimensional defect-free dual-species atom arrays rearrangement algorithm with near-fewest atom moves
Z. Tao, L. Yu, Jiayi Hou·Mar 22, 2022
Dual-species single-atom array in optical tweezers has several advantages over the single-species atom array as a platform for quantum computing and quantum simulation. Thus, creating the defect-free dual-species single-atom array with atom numbers...
Hybrid Quantum-Classical Boson Sampling Algorithm for Molecular Vibrationally Resolved Electronic Spectroscopy with Duschinsky Rotation and Anharmonicity.
Yuanheng Wang, Jiajun Ren, Weitang Li +1 more·Mar 21, 2022
Using a photonic quantum computer for boson sampling has demonstrated a tremendous advantage over classical supercomputers. It is highly desirable to develop boson sampling algorithms for realistic scientific problems. In this work, we propose a hybr...
Time-Dependent Hamiltonian Simulation Using Discrete-Clock Constructions
Jacob Watkins, N. Wiebe, A. Roggero +1 more·Mar 21, 2022
Compared with time-independent Hamiltonians, the dynamics of generic quantum Hamiltonians H(t) are complicated by the presence of time ordering in the evolution operator. In the context of digital quantum simulation, this difficulty prevents a direct...