Triangle Quantum Computing Seminar

Join Today’s Duke, NC State and UNC collaborative Triangle Quantum Computing Seminar 

Talk Title:  NISQ-HHL: Portfolio Optimization for Near-Term Quantum Hardware

Speaker: Dylan Herman

Hosted by:  UNC Kenan-Flagler Rethinc. Labs

Abstract:  Portfolio optimization is an essential use case in Finance, but its computational complexity forces financial institutions to resort to approximated solutions, which are time consuming. Using the method of Lagrange multipliers, the mean-variance portfolio optimization problem can be represented by a system of linear equations and potentially benefit from the exponential speedup provided by the HHL quantum algorithm. However, multiple components in HHL are unsuitable for execution on Noisy Intermediate Scale Quantum (NISQ) hardware. This paper introduces NISQ-HHL, the first hybrid formulation of HHL suitable for the end-to-end execution of small-scale portfolio-optimization problems on NISQ devices. NISQ-HHL extends the hybrid HHL variant with newly available quantum-hardware features: mid-circuit measurement, qubit reset and reuse, and Quantum Conditional Logic (QCL). To the best of our knowledge, NISQ-HHL is the first algorithm incorporating a QCL-enhanced version of Phase Estimation executed on real hardware, the trapped-ion Quantinuum System Model H1-1. In addition, NISQ-HHL includes a novel method for choosing the optimal evolution time for Hamiltonian simulation. Although this paper focuses on portfolio optimization, the techniques it proposes to make HHL more scalable are generally applicable to any problem that can be solved via HHL in the NISQ era.

This is a Hybrid Event with NC State.

The In Person location for NC State is Venture Place, 2nd Floor, Large Classroom.

REGISTRATION: Form Link 

For more information email:  quantumcomputing@ncsu.edu