Quside Sponsors The Quantum Computing Summit in London
If you work in Tech, AI, and Quantum, chances are that you are aware that next week London is definitely calling, as the city hosts The Quantum Computing Summit, part of the AI Summit. The event takes place on the 22nd and 23rd of September, at ExCel London. If you are attending in person, you can meet Quside at the Quantum Summit exhibition hall. Pay a visit to us at our sponsor booth to get together to know what is new in our company!
But, if you are registered but in-person attendance is not exactly your cup of tea (pun intended) at the moment, due to travel and health restrictions, you can also visit our virtual booth in the swapcard platform and schedule a meeting with our team.
Quside presentation at the Quantum Summit
Quside is also giving a presentation on QRNG. Carlos Abellan, Quside’s CEO, will explain our quantum random numbers technology and products. Read below for more information on the abstract:
“Quantum entropy built in”
Random numbers are essential in a broad range of IT applications, including cybersecurity and computation, but producing them is a complex task. Quantum random number generators (QRNGs) have matured over the years to the point that they can now be conveniently and easily deployed in business workloads. In this talk, we describe Quside’s randomness generation and acceleration solutions and the integration of the technology in one of Python’s most widely used numerical analysis tools.
The presentation will take place on September 22nd, at 12:30, BST (UK summertime).
Please note that the agenda is subject to changes and we will update here with any new information.
A research collaboration between Quside, ICFO, and others, has shown how using quantum random number generators provide the required quality and efficiency for safely running even the most complex stochastic simulations.
Quantum random numbers for physics-inspired optimization problems
Making decisions is commonly a challenge due to the uncertainty and overwhelming information needed to deal with a problem: from every engineering design, data analysis or most business decisions to...