Robert Gasca
A5092050311- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Advanced Data Storage Technologies
- Neural Networks and Reservoir Computing
- Advanced Electrical Measurement Techniques
- Quantum optics and atomic interactions
- Quantum and electron transport phenomena
- Physics of Superconductivity and Magnetism
- Random lasers and scattering media
- Computational Geometry and Mesh Generation
- Quantum-Dot Cellular Automata
- Computational Physics and Python Applications
- Advancements in Semiconductor Devices and Circuit Design
Google (United States)
2023-2024
We demonstrate a Josephson parametric amplifier design with band-pass impedance-matching network based on third-order Chebyshev prototype. measured eight amplifiers operating at 4.6 GHz that exhibit gains of 20 dB less than 1-dB gain ripple and bandwidth up to 500 MHz. The further achieve high-output-saturation powers around $\ensuremath{-}73\phantom{\rule{0.2em}{0ex}}\mathrm{dBm}$ the use rf superconducting quantum interference device arrays as their nonlinear element. characterize system...
Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into logical qubit, where the rate is suppressed exponentially as more are added. However, this exponential suppression only occurs if below critical threshold. In work, we present two surface code memories operating threshold: distance-7 and distance-5 integrated with real-time decoder. The of our larger memory factor $\Lambda$ = 2.14 $\pm$ 0.02 when increasing distance two,...
Understanding how interacting particles approach thermal equilibrium is a major challenge of quantum simulators. Unlocking the full potential such systems toward this goal requires flexible initial state preparation, precise time evolution, and extensive probes for final characterization. We present simulator comprising 69 superconducting qubits which supports both universal gates high-fidelity analog with performance beyond reach classical simulation in cross-entropy benchmarking...
One of the most challenging problems in computational study localization quantum manybody systems is to capture effects rare events, which requires sampling over exponentially many disorder realizations. We implement an efficient procedure on a processor, leveraging parallelism, efficiently sample all observe without many-body dynamics one and two dimensions: perturbations do not diffuse even though both generator evolution initial states are fully translationally invariant. The strength as...
Lattice gauge theories (LGTs) can be employed to understand a wide range of phenomena, from elementary particle scattering in high-energy physics effective descriptions many-body interactions materials. Studying dynamical properties emergent phases challenging as it requires solving problems that are generally beyond perturbative limits. We investigate the dynamics local excitations $\mathbb{Z}_2$ LGT using two-dimensional lattice superconducting qubits. first construct simple variational...
Quantum error correction is essential for bridging the gap between rates of physical devices and extremely low logical required quantum algorithms. Recent error-correction demonstrations on superconducting processors have focused primarily surface code, which offers a high threshold but poses limitations operations. In contrast, color code enables much more efficient logic, although it requires complex stabilizer measurements decoding techniques. Measuring these stabilizers in planar...
A remarkable characteristic of quantum computing is the potential for reliable computation despite faulty qubits. This can be achieved through error correction, which typically implemented by repeatedly applying static syndrome checks, permitting correction logical information. Recently, development time-dynamic approaches to has uncovered new codes and code implementations. In this work, we experimentally demonstrate three implementations surface code, each offering a unique solution...
We demonstrate a Josephson parametric amplifier design with band-pass impedance matching network based on third-order Chebyshev prototype. measured eight amplifiers operating at 4.6 GHz that exhibit gains of 20 dB less than 1 gain ripple and up to 500 MHz bandwidth. The further achieve high output saturation powers around -73 dBm the use rf-SQUID arrays as their nonlinear element. characterize system readout efficiency its signal-to-noise ratio near using Sycamore processor, finding data...