A5047722466- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Atomic and Subatomic Physics Research
- Cold Atom Physics and Bose-Einstein Condensates
- Advanced Frequency and Time Standards
- Numerical Methods and Algorithms
- Radioactive Decay and Measurement Techniques
- Quantum optics and atomic interactions
- Parallel Computing and Optimization Techniques
- Bioinformatics and Genomic Networks
- Quantum and electron transport phenomena
- Advanced Physical and Chemical Molecular Interactions
- Machine Learning in Bioinformatics
- Genetics, Bioinformatics, and Biomedical Research
- Quantum Mechanics and Applications
- Chaos-based Image/Signal Encryption
- Gene expression and cancer classification
- Advancements in Semiconductor Devices and Circuit Design
Goldman Sachs (United States)
2021
Stanford University
2015-2020
California Institute of Technology
2020
Nonlocal correlations implied by quantum mechanics have been achieved to high statistical significance in an ensemble of half a million atoms, increase three orders magnitude over previous results.
We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we first complete resource estimates useful derivative pricing, using autocallable and Target Accrual Redemption Forward (TARF) derivatives as benchmark use cases. uncover blocking challenges known approaches introduce a new method – the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow class="MJX-TeXAtom-ORD"><mml:mtext class="MJX-tex-mathit"...
The compatibility of cavity-generated spin-squeezed atomic states with atom-interferometric sensors that require freely falling atoms is demonstrated. An ensemble $500,000$ in a high-finesse optical cavity near-uniform atom-cavity coupling prepared, released into free space, recaptured the cavity, and probed. Up to $\sim$10 dB metrologically-relevant squeezing retrieved for 700 microsecond free-fall times, decaying levels are realized up 3 millisecond times. degradation results from loss...
Biomarkers play a central role in medicine's gradual progress towards proactive, personalized precision diagnostics and interventions. However, finding biomarkers that provide very early indicators of change health status, particularly for multi-factorial diseases, has been challenging. Discovery such stands to benefit significantly from advanced information processing means detect complex correlations, which quantum computing offers. In this perspective paper, algorithms, machine learning,...
We create up to 20 dB spin-squeezed states of atomic ensembles using an optical cavity-based measurement. The prepared are suitable for sensors that require free space release the atoms.
In this paper, we present Q# implementations for arbitrary single-variabled fixed-point arithmetic operations a gate-based quantum computer based on lookup tables (LUTs). general, is an inefficent way of implementing function since the number inputs can be large or even infinite. However, if input domain bounded and there some error tolerance in output (both which are often case practical use-cases), LUT implementation certain functions more efficient than their corresponding reversible...
In this paper, we present Q# implementations for arbitrary single-variabled fixed-point arithmetic op-erations a gate-based quantum computer based on lookup tables (LUTs). general, is an inefficent way of implementing function since the number inputs can be large or even infinite. However, if input domain bounded and there some error tolerance in output (both which are often case practical use-cases), LUT implementation certain functions more efficient than their corresponding reversible...
We introduce new rounding methods to improve the accuracy of finite precision quantum arithmetic. These are applicable when multiple samples being taken from a program. show how use stochastically suppress arithmetic error rounding. benchmark these on multiplication fixed-point numbers stored in registers. that gate counts and depths for multiplying target can be reduced by approximately 2-3X over state art while using roughly same number qubits.