From Quantum AI to the Virtual Human

Utilizing quantum computers for scientific discovery presents many challenges driven by the currently still-experimental nature of quantum hardware and the absence of the essential software needed to “program” this hardware in the near term. Software for quantum computing is in its infancy, and therefore the development of executable code for quantum hardware using current strategies is arduous. In this context, in the first part of the talk, I will discuss our recent demonstration of a new allocation algorithm that combines the simulated annealing method with local search of the solution space using Dijkstra’s algorithm. Our algorithm takes into account the weighted connectivity constraints of both the quantum hardware and the quantum program being compiled. Using this novel approach, we are able to optimally reduce the error rates of quantum programs on various quantum devices. In the second part of my talk, I will present a strategy to compute excited-states and reaction dynamics on NISQs. Finally, I will discuss a pathway to computing “complex” molecules, both energies and dynamics, leveraging a combination of quantum chemistry and quantum computer science approaches. Full Abstract

In the quest for more computing power, the dominant digital silicon architectures are reaching the limit of physically possible processor speeds. The heat conduction of silicon limits how fast waste heat can be extracted, in turn limiting the processor speeds. Moreover, energy consumption by computers is now a significant fraction of humanity’s energy use, and current silicon devices are orders of magnitude away from optimal in this respect. We can’t afford to apply more and more standard computers to solve the biggest problems, we need more energy-efficient computational materials, and more efficient ways to compute beyond digital. Full Abstract

Join this session to learn more about Microsoft’s investment in quantum computing and see how the Microsoft Quantum team are leveraging quantum inspired optimisation techniques today to solve some of industry’s most complex problems. The session will focus on the groundbreaking collaboration between Microsoft Quantum and Case Western Reserve University to enhance MRI technology through pulse sequence optimisation, reducing scan time and improving results. Full Abstract

The first quantum revolution, led in the early twentieth century by young Europeans of the likes of Einstein, Heisenberg and Planck, gave birth over the years to major inventions including the transistor, the laser, MRI and GPS. Today, taking advantage of Atos’ expertise in supercomputers and cyber security, Atos is fully committed to the second quantum revolution that will disrupt all our clients’ business activities in the coming decades, from medicine to agriculture through finance.
However, the computer research community has come to realize that no General-Purpose Quantum Computing (GPQC) will be available on the market for 10 to 15 years. In the meantime, a lot of research and engineering steps are needed, both in terms of the hardware and software environment. Full Abstract