QHack 2021: Patrick Coles—How to Design a Variational Quantum Algorithm

(49:28)

QHack 2021: Ben Bartlett—How to Train Your Photons: Adventures in Optical Machine Learning

(51:49)

QHack 2021: Nathan Killoran—Training Quantum Computers: An Introduction to PennyLane

(48:22)

QHack 2021: Eduardo Miranda—The Dawn of Quantum Computer Music: A Natural Progression

(44:23)

QHack 2021: Jakob Kottmann—Orbitals, Fermions and Gradients: Getting Started with Tequila

(57:57)

QHack 2021: Maria Schuld—Quantum Differentiable Programming

(46:32)

QHack 2022: Maria Schuld —Is quantum advantage the right goal for QML?

(45:11)

CROSSFIRE BR WEST | CHEAT HACK | ESP WALL

(6:3)

QHack 2021: Amira Abbas—The Expressibility of Quantum Machine Learning Models

(44:48)

QHack 2021: Christa Zoufal—Quantum Gradients

(44:46)

QHack 2021: Cedric Lin—Getting Started with quantum computing on Amazon Braket

(43:8)

QHack 2021: Marco Cerezo—Trainability and Barren Plateaus in Quantum Neural Networks

(53:13)

QHack 2021: Balint Koczor—Exponential Error Suppression and Quantum Analytic Descent

(52:20)

QHACK 2021 teaser

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QHack 2021: Leonardo Banchi—Training and Testing: A Quantum Information Perspective

(54:29)

QHack 2021: Sofia Vallecorsa—Quantum Machine Learning in High Energy Physics: Examples from CERN

(48:49)

QHack 2021: Sukin (Hannah) Sim—How to Optimize Parameter-Heavy Quantum Circuits

(49:25)

QHack 2021: Eric Kessler—Learning Quantum Machines: PennyLane and Amazon Braket

(51:56)

QHack 2021: Jules Tilly—Quantum Machine Learning and AI Prospects for Drug Discovery

(53:8)