Research anticipates quantum computing boom in financial services by 2026

Research anticipates quantum computing boom in financial services by 2026

A report has found that sales of quantum computers and related services to the financial services industry will total $450m by 2026.

Quantum computing in the 21st Century – with David Jamieson

Join David Jamieson as he explores his work in quantum technology and looks at how we plan to build the first quantum machines.

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Einstein’s most revolutionary idea, the light quantum, led to the concept for a radical new type of computer. This computer would use the strange rules of quantum mechanics to process information encoded in quantum bits, otherwise known as qubits.

In this talk you will find out more about how these large-scale devices may be able to solve important problems that cannot be solved by classical machines. And about some of the formidable scientific and technical obstacles that would need to be overcome, through the use of unprecendented precision to manipulate and interrogate single atoms.

This lecture was filmed at the Ri on 5 July 2022.

00:00 Lecture outline
3:23 A retrospective of the computer age
11:29 The first quantum revolution
16:58 Demonstrating Einstein’s photoelectric effect
23:30 Discovery of the nucleus
27:41 Discovery of spin
35:28 ‘There’s plenty of room at the bottom’
39:36 The start of a second quantum revolution
51:15 The spooky quantum state
54:17 Maintaining order in a large-scale device

David Jamieson is a Professor of Physics at the University of Melbourne. He has a PhD from Melbourne and held postdoctoral fellowships at Caltech (USA) and the University of Oxford (UK).

David has served terms as Head of School and President of the Australian Institute of Physics. His research expertise in the field of ion beam physics applied to test some of the key functions of a revolutionary quantum computer constructed in silicon in the ARC Centre for Quantum Computation and Communication Technology.

In 2020 David received a Royal Society Wolfson Visiting Fellowship to work on new ideas for engineering silicon with single atoms. He is also a Fellow of both the Australian Institute of Physics and the Institute of Physics (UK).

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Quantum Computer VS 1,000,000 TNT

Quantum Computer VS 1,000,000 TNT

#minecraft #shorts

Understanding Quantum Information and Computation – Trailer

The goal for this series is simple: to create a university level quantum course and to make it available worldwide, while explaining how quantum information and computation actually works, at a detailed mathematical level.

There’s no expectation you already know anything about quantum computing or quantum information, or have a background in quantum mechanics or physics. But you will want to be comfortable with linear algebra, complex numbers, and basic mathematical concepts.

Understanding Quantum Information and Computation is meant for anyone who wants to learn about quantum computing from a computer scientists perspective, and will begin by covering the basics of quantum information in Unit 1. 

In unit 2, we will dive into Quantum Algorithms, Unit 3 we’ll dive deeper into the mathematics of quantum information, and Unit 4 will explore how to understand and mitigate noise. 

My name is John Watrous, and I hope you’ll join me for Lesson 1 of Understanding Quantum Information and Computation.

#quantum #qiskit #ibmquantum

Applied Research on Quantum Computing for Financial Services at Main Incubator | Quantum Summit 2021

Evaluating the impact and application of quantum computing for financial services is a necessary step towards the Quantum Era. Although the technology readiness level of quantum computing is at an early stage, the current technology allows researching and developing applications in order to assess scalability and to estimate production readiness. We’ve set our focus on determining the practical relevance of utilizing quantum algorithms for challenging problems in financial asset & risk management.

In this talk, we would like to share our experiences in researching and developing hardware-agnostic quantum software applications for computationally intractable optimization problems often found in common financial engineering tasks, such as diverse graph theory based portfolio allocation techniques. Bearing in mind that the practical relevance of using quantum methods for these types of tasks may depend on a wide range of business specific aspects, our ambition is to create appropriate experimental setups that are comparable to real world conditions. This includes our approaches for identifying relevant business problems, (re-)formulating them as (variational) quantum algorithms and designing numerical experiments in order to evaluate the performance under realistic assumptions.

Jens Jeschner, Data Scientist, Main Incubator

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