Marco Szalay
A5065969593- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Quantum many-body systems
- Quantum and electron transport phenomena
- Advancements in Semiconductor Devices and Circuit Design
- Neural Networks and Reservoir Computing
- Physics of Superconductivity and Magnetism
- Semiconductor materials and devices
- Quantum optics and atomic interactions
- Quantum Mechanics and Applications
- Bayesian Methods and Mixture Models
- Theoretical and Computational Physics
- Non-Destructive Testing Techniques
- Ultrasonics and Acoustic Wave Propagation
- Topological Materials and Phenomena
- Statistical Methods and Inference
- Quantum-Dot Cellular Automata
- Neural Networks and Applications
- Statistical Methods and Bayesian Inference
- Superconducting Materials and Applications
- Statistical Mechanics and Entropy
- Quantum, superfluid, helium dynamics
- Particle Accelerators and Free-Electron Lasers
- Random lasers and scattering media
- Particle Detector Development and Performance
Google (United States)
2021-2025
University of California, Riverside
2022
Max Planck Institute for Physics
2018-2020
Max Planck Society
2018
As the search continues for useful applications of noisy intermediate scale quantum devices, variational simulations fermionic systems remain one most promising directions. Here, we perform a series chemistry largest which involved dozen qubits, 78 two-qubit gates, and 114 one-qubit gates. We model binding energy ${\rm H}_6$, H}_8$, H}_{10}$ H}_{12}$ chains as well isomerization diazene. also demonstrate error-mitigation strategies based on $N$-representability dramatically improve effective...
The discovery of topological order has revolutionized the understanding quantum matter in modern physics and provided theoretical foundation for many error correcting codes. Realizing topologically ordered states proven to be extremely challenging both condensed synthetic systems. Here, we prepare ground state toric code Hamiltonian using an efficient circuit on a superconducting processor. We measure entanglement entropy near expected value $\ln2$, simulate anyon interferometry extract...
Realizing the potential of quantum computing requires sufficiently low logical error rates1. Many applications call for rates as 10-15 (refs. 2-9), but state-of-the-art platforms typically have physical near 10-3 10-14). Quantum correction15-17 promises to bridge this divide by distributing information across many qubits in such a way that errors can be detected and corrected. Errors on encoded qubit state exponentially suppressed number grows, provided are below certain threshold stable...
Abstract Quantum many-body systems display rich phase structure in their low-temperature equilibrium states 1 . However, much of nature is not thermal equilibrium. Remarkably, it was recently predicted that out-of-equilibrium can exhibit novel dynamical phases 2–8 may otherwise be forbidden by thermodynamics, a paradigmatic example being the discrete time crystal (DTC) 7,9–15 Concretely, defined periodically driven many-body-localized (MBL) via concept eigenstate order 7,16,17 In...
Interaction in quantum systems can spread initially localized information into the many degrees of freedom entire system. Understanding this process, known as scrambling, is key to resolving various conundrums physics. Here, by measuring time-dependent evolution and fluctuation out-of-time-order correlators, we experimentally investigate dynamics scrambling on a 53-qubit processor. We engineer circuits that distinguish two mechanisms associated with operator spreading entanglement, observe...
Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these on computers may avoid the prohibitively high computational cost incurred in classical approaches. However, systematic errors and decoherence effects presented current devices make it difficult achieve this. Here, we simulate dynamics of one-dimensional Fermi-Hubbard model using 16 qubits a digital superconducting processor. We observe separations...
We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device matched to 50 Ω environment with Klopfenstein-taper impedance transformer and achieves bandwidth 250–300 MHz input saturation powers up −95 dBm at 20 dB gain. A 54-qubit Sycamore processor was used benchmark these devices, providing calibration for readout power, estimation added noise, platform comparison against standard...
While large-scale fault-tolerant quantum computers promise to enable the solution certain classes of problems for which no other efficient approach is known, such a machine believed require over million performant qubits. Scaling today's 0(100) qubit superconducting (SC) this extent while also improving performance carries many daunting challenges, including control large processor (QP). Integrating electronics at an intermediate temperature stage within cryostat attractive option, e.g., due...
A universal fault-tolerant quantum computer will require large-scale control systems that can realize all the waveforms required to implement a gateset is for computing. Optimization of such system, which must be precise and extensible, an open research challenge. Here, we present cryogenic integrated circuit (IC) able necessary degrees freedom two-qubit subcircuit superconducting processor. Specifically, IC contains pair 4–8-GHz RF pulse generators <inline-formula...
Leakage of quantum information out computational states into higher energy represents a major challenge in the pursuit error correction (QEC). In QEC circuit, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade exponential suppression logical with scale, challenging feasibility as path towards fault-tolerant computation. Here, we demonstrate execution distance-3 surface code distance-21 bit-flip on Sycamore processor where is...
Numerically estimating the integral of functions in high dimensional spaces is a nontrivial task. A oft-encountered example calculation marginal likelihood Bayesian inference, context where sampling algorithm such as Markov Chain Monte Carlo provides samples function. We present an Adaptive Harmonic Mean Integration (AHMI) algorithm. Given drawn according to probability distribution proportional function, will estimate function and uncertainty by applying harmonic mean estimator adaptively...
Numerically estimating the integral of functions in high dimensional spaces is a non-trivial task. A oft-encountered example calculation marginal likelihood Bayesian inference, context where sampling algorithm such as Markov Chain Monte Carlo provides samples function. We present an Adaptive Harmonic Mean Integration (AHMI) algorithm. Given drawn according to probability distribution proportional function, will estimate function and uncertainty by applying harmonic mean estimator adaptively...
We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device matched to 50 $Ω$ environment with Klopfenstein-taper impedance transformer and achieves bandwidth 250-300 MHz, input saturation powers up -95 dBm at 20 dB gain. A 54-qubit Sycamore processor was used benchmark these devices, providing calibration for readout power, estimate added noise, platform comparison against standard...