QSI Seminars & Events

Finding the ground state of the Hubbard model using hybrid quantum-classical computing.

Building better deep learning representations for quantum mixed states by adding quantum layers to classical probabilistic models.

Constant-depth quantum circuits can outperform log-depth classical circuits for certain interactive tasks.

A method for performing approximate density matrix propagation

A framework for defining and classifying crosstalk errors in quantum processors

So you want to build a useful quantum computer… where to begin?!

This talk sheds light on different aspects of encoding classical data into quantum states for machine learning. 

Cryptographic protocols for classical clients to verifiably delegate quantum computation to untrusted quantum servers - the desiderata and their feasibility.

A physics inspired class of quantum neural network for generative training

Controls and frames: A new approach to quantum noise spectroscopy

Protecting and leveraging quantum machine learning algorithms on a future quantum internet

A survey of quantum algorithms for statistics and a robust quantum minimum-finding algorithm.

Self-Guided Quantum Learning: Estimation via optimisation applied to quantum estimation

Engineering a coherent and tunable bilinear coupling between two microwave quantum memories in a 3D circuit QED architecture.

Bosonic mode error correcting codes: Quantum oscillators with an infinite Hilbert space.

This talk explains the quantum supremacy milestone achieved by Google.

Q#, a quantum-focused domain-specific language explicitly designed to correctly, clearly and completely express quantum algorithms.

From queues to qubits: Compiling classical code to quantum for quantum processors

Nothing beats a trunk load of quantum hard drives hurtling down the highway for building a quantum internet. 

Building a bigger Hilbert space for superconducting devices, one Bloch state at a time