Traders Magazine
0 Shares
Marking a significant step in the roadmap for quantum advantage for financial applications, Goldman Sachs and QC Ware researchers have designed new, robust quantum algorithms that outperform state-of-the-art classical algorithms for Monte Carlo simulations and can be used on near-term quantum hardware expected to be available in 5 to 10 years.
Monte Carlo methods, used to evaluate risk and simulate prices for a variety of financial instruments, involve complex calculations and consume significant time and computational resources. Typically, these calculations are executed once overnight, which means that in volatile markets, traders are forced to use outdated results. Providing traders, who are always looking for an additional edge in the markets, with a quantum computing approach to perform these risk assessments with far greater speed means that simulations could be executed throughout the day and could transform the way financial markets worldwid
Goldman Sachs and QC Ware Collaboration Brings New Way to Price Risky Assets within Reach of Quantum Computers
News provided by
Share this article
Share this article
PALO ALTO, Calif., April 29, 2021 /PRNewswire/ Marking a significant step in the roadmap for quantum advantage for financial applications, Goldman Sachs and
QC Ware researchers have designed new, robust quantum algorithms that outperform state-of-the-art classical algorithms for Monte Carlo simulations and can be used on near-term quantum hardware expected to be available in 5 to 10 years.
Monte Carlo Algorithms Comparative Chart
Monte Carlo methods, used to evaluate risk and simulate prices for a variety of financial instruments, involve complex calculations and consume significant time and computational resources. Typically, these calculations are executed once overnight, which means that in volatile markets, traders are forced to use outdated results. Providing traders, who are always looking for an addit
1Centre for International Health, University of Bergen, Bergen, Norway
2Division of Global HIV and TB, U.S Centers for Disease Control and Prevention, Nairobi, Kenya
3National AIDS and Sexually Transmitted Infections (STI) Control Program, Ministry of Health, Nairobi, Kenya
4Health Population and Nutrition, United States Agency for International Development, Nairobi, Kenya
5Division of Global HIV and TB, U.S Centers for Disease Control and Prevention, Atlanta, GA, United States
Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere.