Faculty

Daniel Kyungdeock Park, Korea Advanced Institute of Science and Technology

Machine learning is an interesting family of problems for which near-term quantum devices can provide considerable advantages. In particular, exponential quantum speedup is recently demonstrated in learning a Boolean function that calculates the parity of a randomly chosen input bit string and a hidden bit string in the presence of noise, the problem known as learning parity with noise (LPN).

Shape and cutoff in superconducting qubits, work fluctuations in correlation creation, and critical commentary

Master's Candidate: Emma McKay

Li Liu

Following my previous seminar talk on embezzlement of entanglement, this talk introduces a more general version of the problem — self-embezzlement. Instead of embezzling a pair of entangled state from a catalyst, self-embezzlement aims to create two copies of the catalyst state using only local operators. 

What does it mean to ask feminist questions of the worlds we study?

Join Aryn Martin from York University in a talk about addressing this question and whether having more women in science is the same as having more feminism in science.

Hakop Pashayan, The University of Sydney

We present a method for estimating the probabilities of outcomes of a quantum circuit using Monte Carlo sampling techniques applied to a quasiprobability representation. Our estimate converges to the true quantum probability at a rate determined by the total negativity in the circuit, using a measure of negativity based on the 1-norm of the quasiprobability. If the negativity grows at most polynomially in the size of the circuit, our estimator converges efficiently.

Swati Singh, University of Delaware

When properly engineered, simple quantum systems such as harmonic oscillators or spins can be excellent detectors of feeble forces and fields. Following a general introduction to this fast growing area of research I will focus on two simple and experimentally realizable examples: a nitrogen vacancy (NV) center in diamond interacting with its many-body environment, and acoustic modes of superfluid helium interacting with gravitational waves.

Ludwig Mathey, University of Hamburg

While traditional means of influencing material properties are static, I will present our recent studies of dynamical control of high-temperature superconductors via light pulses. Specifically, I will discuss both light enhanced superconductivity, for which we propose a parametric amplification mechanism, as well as light induced superconductivity. As a second platform, I will describe dynamics in driven cavity-BEC systems.

Methods for parallel quantum circuit synthesis, fault-tolerant quantum RAM, and quantum state tomography

PhD Candidate: Olivia Di Matteo
Supervisor: Michele Mosca

Thesis available from the Science graduate office, PHY 2013.

Oral defence in QNC B204.

Nadine Stritzelberger

In this seminar I will discuss my research, which is concerned with three different topics in the related fields of Quantum Theory, General Relativity and Cosmology.

Li Liu

Entanglement is a type of resource used in quantum information theory that gives correlations that cannot be simulated using classical probability theory. It is known that entanglement cannot be created locally.