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Ian Spielman, Stephen Eckel, Gretchen Campbell, Yanda Geng, Shouvikl Mukherjee, Swarnav Banik, Monica Gutierrez~Galan, Hector Sosa-Martinez, Madison Anderson
We describe an apparatus that efficiently produces $^23}$Na Bose-Einstein condensates (BECs) in a hybrid trap that combines a quadrupole magnetic field with a far-detuned optical dipole trap. Using a Bayesian optimization framework, we systematically
Donor-based quantum devices in silicon are attractive platforms for universal quantum computing and analog quantum simulations. The nearly-atomic precision in dopant placement promises great control over the quantum properties of these devices. We present
Zihan Cheng, Eric Huang, Vedika Khemani, Michael Gullans, Matteo Ippoliti
Unitary k-designs are distributions of unitary gates that match the Haar distribution up to its k-th statistical moments. They serve as a crucial resource for randomized quantum protocols. However, their implementation on encoded logical qubits is
The Variational Quantum Eigensolver (VQE) is a widely studied hybrid classical-quantum algorithm for approximating ground-state energies in molecular and materials systems. This study benchmarks the performance of the VQE for calculating ground-state
Joshua Bienfang, Thomas Gerrits, Paulina Kuo, Alan Migdall, Sergey Polyakov, Oliver Slattery
The intention of this dictionary is to define relevant terms and metrics used in the characterization of single-photon detectors and sources with the goal to promote better understanding and communication of those metrics across the single-photon
Manuel Beltran, Logan Howe, Andrea Giachero, Michael Vissers, Danilo Labranca, Joel Ullom, Peter Hopkins
Superconducting quantum computing benefits significantly from readout chains operating very near the Quantum Limit (QL) of added noise. This is typically achieved using Josephson Parametric Amplifiers (JPAs) which are inherently narrowband and suffer from
Pradeep Niroula, Sarang Gopalakrishnan, Michael Gullans
Extracting useful information from noisy near-term quantum simulations requires error mitigation strategies. A broad class of these strategies rely on precise characterization of the noise source. We study the performance of such strategies when the noise
Mason Marshall, Daniel Rodriguez Castillo, Willa Dworschack, Alexander Aeppli, Kyungtae Kim, Dahyeon Lee, William Warfield, Nicholas Nardelli, Tara Fortier, Jun Ye, David Ray Leibrandt, David Hume
We report a single-ion optical atomic clock with fractional frequency uncertainty of 5.5 x 10^-19 and frequency stability of 3.5 x 10^-16/sqrttau/s}, based on quantum logic spectroscopy of a single 27Al+ ion. A co-trapped 25Mg+ ion provides sympathetic
Jabir Marakkarakath Vadakkepurayil, Shruti Sundar, Daniel Razansky
Bell states are fundamental resources in quantum optics, underpinning a range of applications in quantum computation and communication. However, many experimental sources focus on generating a single Bell state, limiting their utility for protocols that
Polarization entanglement of single photons is a key element to enable quantum 2.0 applications such as quantum computing, quantum networks, and quantum sensing. Verification and fidelity assessment of quantum entanglement of single photon pairs correlated
Dominik Hangleiter, Marcin Kalinowkski, Dolev Bluvstein, Madelyn Cain, Nishad Maskara, Xun Gao, Aleksander Kubica, Mikhail Lukin, Michael Gullans
Quantum computational advantage is challenging to maintain asymptotically in the presence of noise. Fault-tolerant quantum computing provides a route to noiseless computations, but can have high overheads for generic algorithms. Here, we develop a fault
Lafe Spietz, Adam Sirois, Nathan Flowers-Jacobs, Peter Hopkins, Samuel Benz, Steve Waltman
Radio frequency cryogenic switches are a critical enabling technology for quantum information science, both for calibration and high throughput testing of samples. Traditionally solenoid-based switches have been used, but transition is being made to MEMS
Anantha Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cecile Yu, Stefan Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna Zwolak
Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite and targeted control over key
Jabir Marakkarakath Vadakkepurayil, Daehyun Ahn, Ivan Burenkov, Abdella Battou, Sergey Polyakov, N. Fajar R. Annafianto
Optical phase stabilization, tracking, and locking in long fiber links are pivotal for the functionality of many communication protocols and distributed sensors. However, conventional phase stabilization methods use strong optical probe signals that may
Shayan Majidy, Madelyn Cain, Nishad Maskara, Dominik Hangleiter, Michael Gullans
k-uniform states are valuable resources in quantum information, enabling tasks such as teleporta- tion, error correction, and accelerated quantum simulations. However, verifying k-uniformity is as difficult as measuring code distances, and devising fault
Jacob Taylor, Juehang Qin, Dorian Amaral, sunil bhave, Erqian Cai, Daniel Carney, Raphael Lang, Shengchao Li, Claire Marvinney, Alberto Marino, Jared Newton, Christopher Tunnell
Dark matter candidates with masses around the Planck-scale are theoretically well-motivated and have been the subject of numerous studies; it has also been suggested that it might be possible to search for dark matter solely via gravitational interactions
Amar Abane, Michael Cubeddu, Van Sy Mai, Abdella Battou
Entanglement routing in near-term quantum networks consists of choosing the optimal sequence of local entanglements to combine through swapping operations to establish end-to-end entanglement between two distant nodes on a quantum network. Similar to
Luis Pedro Garcia-Pintos, Tom O'Leary, Tanmoy Biswas, Jacob Bringewatt, Lukasz Cincio, Lucas Brady, Yi-Kai Liu
A leading approach to algorithm design aims to minimize the number of operations in an algorithm's compilation. One intuitively expects that reducing the number of operations may decrease the chance of errors. This paradigm is particularly prevalent in
Anton Zubchenko, Danielle Middlebrooks, Torbjoern Rasmussen, Lara Lausen, Ferdinand Kuemmeth, Anasua Chatterjee, Justyna Zwolak
Semiconductor quantum dots (QDs) are a promising platform for multiple different qubit implementations, all of which are voltage controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that can
Daniel Schug, Tyler Kovach, Michael Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, Joelle Corrigan, Mark Eriksson, Justyna Zwolak
The rapid development of quantum dot (QD) devices for quantum computing has necessitated more efficient and automated methods for device characterization and tuning. Many of the measurements acquired during the tuning process come in the form of images
Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be intractable for classical computers, and hence this task has become a leading
Jon Nelson, Gregory Bentsen, Steven Flammia, Michael Gullans
Low-depth random circuit codes possess many desirable properties for quantum error correction but have so far only been analyzed in the code capacity setting where it is assumed that encoding gates and syndrome measurements are noiseless. In this work, we