IQC’s Everett Patterson awarded 2024 Boris P. Stoicheff Memorial Graduate Scholarship
Everett was awarded for his creative insights into the application of relativistic quantum information to determine the temperature of black holes.
Everett was awarded for his creative insights into the application of relativistic quantum information to determine the temperature of black holes.
Quantum Error Characterization and Benchmarking
In this talk I will present the basics of quantum metrology and quantum sensing in noisy environments. I will go over important results of the field that show quantum error correction can be used to obtain optimal sensing protocols when certain conditions on the noise are met. I will then briefly discuss my current research in generalizing these results to the non-Markovian case.
An overview of quantum harmonic oscillators is given. The phase space picture of quantum mechanics is discussed with a special focus on Wigner functions. An overview of Gaussian states and channels is discussed. Non-classical states and their phase-space signatures are explored. Some examples of non-classical states used for encoding logical quantum information and their properties are explored. If the time permits, current research directions and popular implementation platforms will be discussed.
Quantum entanglement can be quantified in many ways, some of which bear clear operational meanings. The Distillable Entanglement and DIQKD rate are two such measures, speculated to be equivalent as stated by the Revised Peres Conjecture (Friedman and Leditzky, 21). Our research lays foundations to the conjecture’s proof, most notably using the notion of ‘private states’, a family of quantum states that arise naturally in the context of QKD. Asking questions such as “what kind of private state can be resulted from a certain DIQKD protocol?”, we were able to provide simple sufficient conditions for the Revised Peres Conjecture to hold.
This week's summer tutorial session will cover quantum error correction, starting from an overview of early successes in the field before introducing stablizer codes.
As we move towards the era of quantum computers with 1000+ qubits, the most promising application able to harness the potential of such devices is quantum simulation. Simulating fermionic systems is both a well-formulated problem with clear real-world applications and a computationally challenging task. In order to simulate a system of fermions on a quantum computer, one has to map the fermionic Hamiltonian to a qubit Hamiltonian. The most popular such mapping is the Jordan-Wigner encoding, which suffers from inefficiencies caused by the non-locality of the encoded operators. As a result, alternative local mappings have been proposed that solve the problem of long encoded operators at the expense of constant factor of qubits. Some of these alternative mappings end up possessing non-trivial stabilizer structure akin to popular quantum error correction (QEC) codes.
In this talk, I will introduce the problem of mapping fermionic operators to qubit operators and how the selection of an encoding could affect resource requirements in near-term simulations. I will also talk about error mitigation approaches utilizing the stabilizer structure of certain encodings as well as using stabilizer simulation to assess the effectiveness of such approaches.
Xanadu is a Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is one of the world’s leading quantum hardware and software companies and also leads the development of PennyLane, an open-source software library for quantum computing and application development.
Through this workshop, attendees will be given a broad overview of some applications of quantum computing to quantum chemistry. Through a series of hands-on exercises, attendees will learn about some PennyLane functionalities for workflows in quantum chemistry. By the end of the session, they will have hands-on experience in building quantum programs with PennyLane and how to use PennyLane datasets in applications to reduce time to research.
Please bring a laptop with you for this session. The workshop will run over Google Colab, no specific installation is required.
Supervisors: Dr. Eduardo Martin-Martinez, Dr. Beni Yoshida
Modular software brings together a variety of expertise to create a new method to realistically model and analyze quantum cryptography.