Sunday, August 1, 2021

Quantum computing phd thesis

Quantum computing phd thesis

quantum computing phd thesis

The PhD in Quantum Computing is a unique doctoral program designed to meet the immediate industry need for innovative researchers and practitioners. Professionals will graduate with the skills necessary to become key leaders in the advancement, expansion, and support of the this rapidly growing industry computing model. Quantum information processing is the result of using the physical reality that quantum theory tells us about for the purposes of performing tasks that were previously thought impossible or infeasible. Devices that perform quantum in-formation processing are known as quantum computers. In this book we examine appears to us that Quantum Computing and its applications to hard Optimisation Problems is a field which is by now sufficiently advanced to be investigated in a framework of “applied researches”. This is why we propose a PhD thesis on this subject, funded by



Quantum Computing (PhD) | Capitol Technology University | Capitol Technology University



PhD Candidate: Matthew Amy Supervisor: Michele Mosca. The design and compilation of correct, efficient quantum circuits is integral to quantum computing phd thesis future operation of quantum computers. This thesis makes contributions to the problems of optimizing and verifying quantum circuits, with an emphasis on the development of formal models for such purposes.


We also present software implementations of these methods, which together form a full stack of tools for the design of optimized, formally verified quantum oracles. We develop a general, efficient optimization algorithm called phase folding, which reduces the number of Rz gates without increasing any metrics by computing its phase polynomial.


This algorithm can further be combined with synthesis techniques for CNOT-dihedral operators to optimize circuits with respect to particular quantum computing phd thesis. We then study the optimal synthesis problem for CNOT-dihedral operators from the perspectives of Rz and CNOT gate optimization. In the case of Rz gate optimization, we show that the optimal synthesis problem is polynomial-time equivalent to minimum-distance decoding in certain Reed-Muller codes.


For the CNOT optimization problem, we show that the optimal synthesis problem is at least as hard as a combinatorial problem related to Gray codes. From the perspective of formal verification, we make two contributions.


The first is the development of a novel formal model of quantum circuits with ancillary bits, along with a concrete verification algorithm. The formal model is based on the Feynman path integral, and with some syntactic sugar forms a natural specification language for quantum circuits. Our experiments show some practical circuits with up to hundreds of qubits can be efficiently verified. Our second contribution is a formally verified, quantum computing phd thesis, optimizing compiler for reversible circuits.


The compiler is structured as a partial evaluator, allowing verification to be carried out significantly faster than previous results. Institute for Quantum Computing University of Waterloo University Avenue West Waterloo, ON, Canada N2L 3G1. The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, quantum computing phd thesis, Anishinaabeg and Haudenosaunee peoples.


Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, quantum computing phd thesis, teaching, and community building, and is centralized within our Indigenous Initiatives Quantum computing phd thesis. Skip to main Skip to footer. Institute for Quantum Computing.


Institute for Quantum Computing home About Our people Graduate Studies Available positions Research Quantum Outreach and workshops News Events Visitor program Alum and friends Institute members. Institute for Quantum Computing Events January.


PhD Thesis Defence. Friday, January 25, — PM EST. Formal Methods in Quantum Circuit Design PhD Candidate: Matthew Amy Supervisor: Michele Mosca Oral defence in QNC B QNC - Quantum Nano Centre BCanada.


Events by date «. July quantum computing phd thesis December 2 November 5 October 4 September 3 August 2 June 4 April 1 March 3 February 5 January 2. Events by audience Current students 3 Current undergraduate students 3 Current graduate students 3 Future students 4 Future undergraduate students 2 Future graduate students 4 Faculty 4 Staff 2 Alumni 3 Parents 1 International 1.


Events by type Seminar 3 Workshop 1. Institute for quantum computing. Contact us Institute for Quantum Computing University of Waterloo University Avenue West Waterloo, ON, Canada N2L 3G1. For internal users Quatrium. University of Waterloo. WaterlooONCanada N2L 3G1. uwaterloo social directory. Log in.




Should you do a PhD? - PhD in theoretical physics at the University of Cambridge

, time: 10:21





Is this the first physics problem that the quantum computer will solve? — CWI Amsterdam


quantum computing phd thesis

quantum” systems, namely those that appear resistant to quantum attacks. We argue, however, that the attacks considered in prior works model only the near future, where the attacker may be equipped with a quantum computer, but the end-users implementing the protocols are still running classical devices PhD track in Quantum Science and Technologies. ECTS Credits: (first two years) Language: English. Orientation: Research. Location: Palaiseau Campus. Course duration: two years (coursework period), followed by a three-year dissertation phase. Course start: September. Degrees awarded: Master’s degree (after the first two years), PhD (on completion of the dissertation) appears to us that Quantum Computing and its applications to hard Optimisation Problems is a field which is by now sufficiently advanced to be investigated in a framework of “applied researches”. This is why we propose a PhD thesis on this subject, funded by

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