Previous RFP projects
Reverse quantum annealing approach to portfolio optimization problems
RFP Cycle 3
Standard Chartered Bank
Team members
:
Luke Brereton
Deep Learning
RFP Cycle 3
Information Science Institute, University of Southern California
Team members
:
Jarrett Smalley
Benchmarking New Planted Solution Instances on the D-Wave 2000Q
RFP Cycle 3
Information Science Institute, University of Southern California
A Study on Quantum Annealing of Hadamard-Ising Systems
RFP Cycle 3
Institut Teknologi Bandung
Team members
:
Hitoshi Ishikawa
,
Yuichiro Minato
PEZY Computing
,
MDR Inc.
Studies of machine learning and quantum algorithms on the D-Wave 2000Q
RFP Cycle 3
Mississippi State University
Team members
:
Yaroslav Koshka
,
J. Spencer Hall
,
Bhavika Ghanshyambhai Bhalgamiya
,
Nicholas Ezzell
Quantum Adiabatic Implementation of the Quadratic Traveling Salesman Problem (QTSP) and Applications
RFP Cycle 3
UC San Diego
Team members
:
Alex Mitev
,
Stanley Lam
,
Ben Shih
,
Zhiyang Ong
University of Toronto
,
Texas A&M University
Hybrid Classical-Quantum approach for studying elasto-chemical phase transformation
RFP Cycle 3
University of Michigan
Team members
:
Siddhartha Srivastava
,
Arunabha Mohan Roy
QUBO formulation for CMOP for execution in D-Wave machines
RFP Cycle 3
Federal University of Pernambuco
Team members
:
Nicolas Melo de Oliveira
,
Wilson Rosa de Oliveira
Universidade Federal Rural de Pernambuco
Transforming 5G Massive MIMO Communication with Quantum Computation
RFP Cycle 3
Princeton University
Team members
:
Minsung Kim
Solving integer programming problems using quantum annealing and algebraic geometry
RFP Cycle 3
Carnegie Mellon University
Team members
:
Raouf Dridi
,
Hedayat Alghassi
Noise Characterization and Control for Adiabatic Quantum Computation
RFP Cycle 3
John Hopkins University
Team members
:
Kevin Schultz
,
Gerardo Paz-Silva
Applied Physics Laboratory
,
Griffith University
Accuracy and minor embedding in subqubo decomposition with fully connected large problems: a case study about number partitioning and qbsolv
RFP Cycle 3
Data Reply s.r.l.
Team members
:
Fazzi Giovanni
,
Magagnini Marco
Optimizing Air Traffic Control Paths
RFP Cycle 3
Noblis
Optimization with Machine Learning and Annealing and QC
RFP Cycle 3
Siemens