Check out our team’s presentations on #quantumsoftware, #machinelearning, neutral atom #quantumcomputing, workforce development, and more at the
American Physical Society
#APS March Meeting in Minneapolis.
See our team at booth 1629!
- Discover #desqtopMOT, the world’s first and only commercially available cold atom platform for quantum education and workforce development.
- Learn, research, and develop with #Oqtant Quantum Matter Service!
- Check out our flagship quantum software platform, #Superstaq.?
Attend an Infleqtion Session:
T4 Quantum Computing Platforms - March 3
The lectures will provide a pedagogical introduction to several of the most popular quantum computing platforms currently being developed. The lectures will also be relevant to those who want to gain an understanding of the current state of the art of these platforms, their relative merits and tradeoffs, and the primary challenges each one faces in scaling to larger systems with lower error rates.
CC03: V: Undergrad Research - March 4
- Average circuit eigenvalue sampling on NISQ devices,
Emilio Peláez Cisneros
, Virtual Room 03, 5:00 - 5:12 pm. Average circuit eigenvalue sampling (ACES) was introduced by Steven T. Flammia in arXiv:2108.05803 as a protocol to characterize the Pauli error channels of individual gates across the device simultaneously. The original paper posed using ACES to characterize near-term devices as an open problem. This work advances in this direction by presenting a full implementation of ACES for real devices and a more accurate and device-tailored resource estimation obtained through simulations and experiments. Our simulations show that ACES is able to estimate one- and two-qubit non-uniform depolarizing error channels to high accuracy with 105 shots per circuit executed. The question of estimating general error channels through twirling techniques in real devices remains open, as it is dependent on a device's native gates, but simulations with the Clifford set show promising results. Real-hardware results on IBM's Manila and Belem devices are presented, where we approximate their error channels as Pauli channels without twirling. A high-level analysis of IBM's hardware calibration data shows that the protocol we implemented outputs sensible results. (Authors:
Emilio Peláez Cisneros
,
Victory Omole
,
Pranav Gokhale
,
Akel Hashim
,
Kate S.
,
Michael A Perlin
,
Rich Rines
)
K51: Quantum Error Mitigation Algorithms - March 5
- Scaling from utility to advantage for the transverse-field Ising model with software,
Victory Omole
, Room 200IJ, 5:24 – 5:36 p.m. Recent evidence for utility on noisy quantum computers has ushered a new era of quantum computing. Given the astonishing progress of quantum hardware, existing quantum software needs to accommodate these advancements by showing that they can scale from the era of utility to the era of error correction. The application that provides evidence for utility, the 2D Transverse-Field ising model (TFIM) happens to also be one of the earliest applications that will achieve practical quantum advantage in the era of error corrected quantum computers. Using techniques like Dynamical decoupling, Zero-Noise extrapolation, optimized decomposition, Echoed Cross-Resonance, Hidden Inverses, Equivalent Circuit Averaging, and Stabilizer slicing, we show how quantum software can scale by running physical TFIM on noisy quantum computers, turning the noisy quantum computers into error-corrected quantum computers and running logical versions of TFIM on the same devices.
Q24: Quantum Computing Hardware - March 6
- Gate Model Quantum Computing with Atom Arrays, Mark Saffman, Room: 101DE, 4:12?PM–4:48?PM. The talk will present progress on gate model quantum computing with atom arrays. Large two-dimensional arrays provide a scalable architecture based on stationary atoms and rapid scanning of focused control beams. Long-range interactions and entanglement are mediated by Rydberg interactions, which provide a viable approach for implementing non-local qLDPC codes. Approaches to realizing mid-circuit measurements and quantum error correction will be presented based on either hyperfine shelving of single-species Cs atom arrays or dual-species Cs and Rb atom arrays. Integration of atom arrays with photon collection optics provides a path towards distributed quantum processing. *Work supported by NSF Award 2210437,??NSF Award 2016136 for the QLCI center Hybrid Quantum Architectures and Networks, and the U.S. Department of Energy Office of Science National Quantum Information Science Research Centers.
Q61: Teaching Quantum Information at All Levels II - March 6
- Oqtant: democratizing quantum research and education with cloud-accessible quantum matter, Alex Tingle, MS, Room 208AB: 4:00 – 4:12 pm. While quantum-enabled technology is on the cusp of transforming many industries, the dearth of a trained quantum workforce hinders widespread deployment. Infleqtion aims to democratize and accelerate quantum research and education by involving a wider audience in discovering and developing quantum-enabled technologies. Establishing a quantum research lab requires substantial resources, thus limiting access to only a handful of universities, companies, and national labs. To address this critical scarcity of access to quantum hardware, Infleqtion created “Oqtant,” a cloud-accessible quantum lab for performing sophisticated research and enriching scientific education. From across the world, researchers and learners of all levels can create quantum matter and dynamically control reconfigurable optical fields – a method known as "painted potentials" – to explore quantum phenomena such as Bose-Einstein condensation, interference, non-linear behavior, and atomtronics. In this presentation, we will introduce Oqtant and demonstrate how learners at many levels can leverage it for quantum education and research. (Authors:
Anjul Loiacono, Ph.D.
,
Alex Tingle, MS
,
Noah Fitch
)
- Bringing the cold atom quantum experience out of the research lab and into the classroom,
Charles Williams
, Room: 208AB, 4:12 - 4:24 pm. The cold atom modality for quantum education has many advantages, from exploring fundamental atom physics and qubit scalability to exploring novel effects and application development in quantum sensing and atomic timing. Traditionally, access to cold atoms in Magneto-Optical Traps (MOTs) required large, costly vacuum systems and optical setups spanning entire optical tables. As the quantum ecosystem rapidly evolves and grows, there is a need for new tools designed to address the needs of quantum education and workforce development. These markets need compact, self-contained instruments that use less laboratory space, are portable to expand accessibility, are operational in mere hours, and use a standardized curriculum engaging to both students and educators. We present #desqtopMOT: an instrument that directly brings the fundamentals and concepts of cold atom MOT experiments into any educational environment, making hands-on quantum learning accessible to all. DesqtopMOT is a complete, self-contained vacuum and laser system for creating and controlling Rb MOTs, paired with a comprehensive, multi-chapter teaching curriculum leveraging an experiential pedagogy. Real-world results from hands-on MOT experiments in an undergraduate course are presented, highlighting the technical advantages, educational impact, and key student outcomes derived. (Authors:
Charles Williams
,
Neil Anderson, PhD
,
Evan Salim
,
Hannes Bernien
,
Danyel Cavazos
)
Y49: Quantum Annealing and Quantum-Inspired Classical Algorithms - March 8
- Quantum Constrained Hamiltonian Optimization,
Benjamin Hall
, Room: 200G, 8:48 - 9:00 am. Finding the best solution to an optimization problem is a much sought-after yet often difficult task. However, for some such problems, the task of finding any feasible solution is actually easy. In this work, we present the quantum-constrained Hamiltonian Optimization (Q-CHOP) algorithm as an alternative to the standard adiabatic algorithm for solving this type of optimization problem. Q-CHOP evolves from any feasible state of a problem to the best feasible state and is thus applicable to constrained optimization problems with at least one easy-to-find, easy-to-prepare feasible state. Q-CHOP achieves this feat by evolving the feasible state under a linear combination of the constraint Hamiltonian (which constrains the dynamics to the feasible subspace) and a ramp Hamiltonian (which adiabatically flips the sign of the objective Hamiltonian). We present Q-CHOP to solve several optimization problems, including maximum independent set, combinatorial auction, and minimum directed set on a di-graph. We will explain Q-CHOP, along with each problem and how it was mapped to Q-CHOP. Additionally, simulations compare the performance of Q-CHOP against the standard adiabatic algorithm (SAA) when applied to each problem. A theoretical discussion of the advantages of Q-CHOP over SAA is also presented, along with corroborating numerical evidence. We conclude with ideas for further applications and extensions of this novel adiabatic quantum algorithm.
Contact us at [email protected] if you'd like to meet during the conference!
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1 年Neil Anderson, PhD Alex Tingle, MS Charles Williams Pranav Gokhale Victory Omole Benjamin Hall Anjul Loiacono Brittany Mazin