Quantum Computers

Frontier development of physics depends on a lot of computations. In fact, even since classical computers picked up the pace of their development since the 1970s, particle physics have progressed tremendously.
We could compute the mass of the proton from scratch, understand what percentage of our mass actually comes from the strong interactions and what from the Higgs particle. In recent times, we are going through a second paradigm shift in the way we perform certain computations. This promises to unlock the keys to more stubborn mysteries of Nature. How do the strong interactions manage to trap quarks? Is there a way to completely stop excitations propagating?
This talk aims to present a general overview of the above issues for a curious audience, with a strong focus on understanding of where the strength of quantum computers lie, and where classical computers will reign supreme for quite a while.

The 2020s will be remembered as the first decade of the Quantum Information Age, where viable quantum computers are rapidly growing in size and improving in accuracy. This quantum scale-up has long been advertised for its applications in cybersecurity and in optimisation.
However, the area positioned to benefit most from emerging quantum information processors is quantum science itself: quantum physics, quantum chemistry, quantum biology. This talk will review the key applications in each area where even near-term quantum computers are positioned to make a difference; and also the key quantum algorithms which make such applications possible. No prior understanding of quantum mechanics is needed to get up to speed on how quantum computation will change the way science is done in the coming decades.
I have been researching quantum algorithms at the University of Southampton since 2023, and currently transitioned as a quantum data scientist at Infleqtion, the UK's leading develop of neutral atom quantum computing and sensing solutions.