How to build a Quantum Computer | Speck&Tech 86
Speck&Tech is the digital community of Trentino, which, since 2016 – over a beer and a slice of speck – has brought together developers, data scientists, researchers, designers, and more broadly people passionate about technology. In over nearly 10 years, it has organized more than a hundred free events, open to everyone, with a simple and effective format: a couple of talks centered around a different theme each time.
Quantum computing is one of those topics everyone has heard about, but few people can confidently explain. What makes quantum computers different from traditional ones? How do they actually work? And what could they realistically be useful for in the years ahead?
Join us for an evening exploring the fascinating world of quantum computing, from the physical principles behind quantum machines to the algorithms and applications that could shape the future of computing. Welcome to “Qubit or not Qubit?”!
This event will be fully in English 🇬🇧 Access to the venue is reserved for those with a valid ticket, which will be scanned at the entrance of Impact Hub Trentino. If you can’t join us in person, follow the live stream here.
1. FEDERICA MANTEGAZZINI
🇬🇧 How to build a Quantum Computer
ABSTRACT: Quantum computers promise to tackle problems beyond the reach of today’s machines, but what are they actually made of? In this talk, we will explore the qubit, the basic building block of a quantum computer, and see how it can be created using real physical systems. Along the way, we will encounter the strange phenomena of superposition and entanglement and discover how they can be turned into a powerful new computing technology.
2. ENRICO BLANZIERI
🇬🇧 From quantum Algorithms to practical applications of quantum computing
ABSTRACT: After introducing the gate-based paradigm for quantum algorithms, the concrete example of Grover’s algorithm will be presented and its speed-up discussed. Then, alternative paradigms such as quantum adiabatic computing and quantum annealing will be covered. The talk will finally discuss the challenges of implementing quantum algorithms on current hardware and review practical applications in optimization and machine learning.
