Add to ORKGQuantum computing is powerful because unitary operators describing the time-evolution of a quantum system have exponential size in terms of the number of qubits present in the system. We develop a new "Singular value transformation" algorithm capable of harnessing this exponential ad
407-414The evolution of quantum computers and quantum machine learning (QML) algorithms have started...
We give a classical algorithm for linear regression analogous to the quantum matrix inversion algori...
We present an algorithmic framework for quantum-inspired classical algorithms on close-to-low-rank m...
An n-qubit quantum circuit performs a unitary operation on an exponentially large, 2n-dimensional, H...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Thesis (Ph.D.)--University of Washington, 2023Could quantum machine learning someday run faster than...
We study quantum speedups in quantum machine learning (QML) by analyzing the quantum singular value ...
Most quantum algorithms offering speedups over classical algorithms are based on the three technique...
In this dissertation we study how efficiently quantum computers can solve various problems, and how ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2017.Cataloged from PD...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
The Quantum Singular Value Transformation (QSVT) is a recent technique that gives a unified framewor...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
407-414The evolution of quantum computers and quantum machine learning (QML) algorithms have started...
We give a classical algorithm for linear regression analogous to the quantum matrix inversion algori...
We present an algorithmic framework for quantum-inspired classical algorithms on close-to-low-rank m...
An n-qubit quantum circuit performs a unitary operation on an exponentially large, 2n-dimensional, H...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum s...
Thesis (Ph.D.)--University of Washington, 2023Could quantum machine learning someday run faster than...
We study quantum speedups in quantum machine learning (QML) by analyzing the quantum singular value ...
Most quantum algorithms offering speedups over classical algorithms are based on the three technique...
In this dissertation we study how efficiently quantum computers can solve various problems, and how ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2017.Cataloged from PD...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
The Quantum Singular Value Transformation (QSVT) is a recent technique that gives a unified framewor...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
We apply the framework of block-encodings, introduced by Low and Chuang (under the name standard-for...
407-414The evolution of quantum computers and quantum machine learning (QML) algorithms have started...
We give a classical algorithm for linear regression analogous to the quantum matrix inversion algori...
We present an algorithmic framework for quantum-inspired classical algorithms on close-to-low-rank m...