Abstract The variational quantum eigensolver is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. The algorithm involves implementing a sequence of parameterized gates on quantum hardware to generate a target quantum state, and then measuring the molecular energy. Due to finite coherence times and gate errors, the number of gates that can be implemented remains limited. In this work, we propose an alternative algorithm where device-level pulse shapes are variationally optimized for the state preparation rather than using an abstract-level quantum circuit. In doing so, the coherence time required for the state preparation is drastically reduced. We numerically demonstrate this by direc...
Ab initio electronic excited state calculations are necessary for the quantitative study of photoche...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
We develop and implement a novel pulse-based ansatz, which we call PANSATZ, for more efficient and a...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Using quantum devices supported by classical computational resources is a promising approach to quan...
Calculating the energy spectrum of a quantum system is an important task, for example to analyze rea...
This work studies pulse-based variational quantum algorithms (VQAs), which are designed to determine...
This work studies pulse-based variational quantum algorithms (VQAs), which are designed to determine...
Quantum computers promise to efficiently solve important problems that are intractable on a conventi...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
Despite the raw computational power of classical computers, some problems require an exponential amo...
The design of new materials and chemicals derived entirely from computation has long been a goal of ...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
Ab initio electronic excited state calculations are necessary for the quantitative study of photoche...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
We develop and implement a novel pulse-based ansatz, which we call PANSATZ, for more efficient and a...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Using quantum devices supported by classical computational resources is a promising approach to quan...
Calculating the energy spectrum of a quantum system is an important task, for example to analyze rea...
This work studies pulse-based variational quantum algorithms (VQAs), which are designed to determine...
This work studies pulse-based variational quantum algorithms (VQAs), which are designed to determine...
Quantum computers promise to efficiently solve important problems that are intractable on a conventi...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
Despite the raw computational power of classical computers, some problems require an exponential amo...
The design of new materials and chemicals derived entirely from computation has long been a goal of ...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
Ab initio electronic excited state calculations are necessary for the quantitative study of photoche...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
We develop and implement a novel pulse-based ansatz, which we call PANSATZ, for more efficient and a...