In my most recent paper https://t.co/VpM4zfiADR we present a FUNC-QAOA, which allows implementing objective Hamiltonian representation for Travelling Salesman Problem and graph colouring, both nearly optimal in all basic resources simultaneously. 1/n
Last week was full of networking, collaborations, and exciting talks!
If you’ve missed it, here is @SabManis's talk launching Aurora, our drug discovery platform, at the Founder’s stage at SLUSH: https://t.co/YyIM6SClvw
#QuantumComputing#DrugDiscovery#slush2022
We are excited to announce that @AlgorithmiqLtd and @IBM are joining forces to pave the way toward useful quantum advantage for quantum chemistry.
This collaboration aims to explore ways to dramatically cut the time and cost of #DrugDiscoveryandDevelopment.
#QuantumComputing
@Algorithmiq has been named the Hottest Deeptech Startup by @TheEuropas
Thank you to everyone who voted for us! We are excited to be on our mission and revolutionize life sciences by exploiting the potential of #QuantumComputing
@thomasgwong In practice I would also be surprised if qudit would be practical to use! However in principle it was always clear to me that superposition is sufficient (still before reading paper from another comment). The question is if you can design qudit operation acting on a few states.
In my most recent paper https://t.co/VpM4zfiADR we present a FUNC-QAOA, which allows implementing objective Hamiltonian representation for Travelling Salesman Problem and graph colouring, both nearly optimal in all basic resources simultaneously. 1/n
A recording of one of our previous Warsaw Quantum Computing Group meetups (Episode XLII, 30.05, Adam Glos, "Simultaneous resources reduction for quantum optimization") is now available on YouTube: https://t.co/fTJU0xwmMI. Enjoy! :)
New arXiv submission.
Did you ever wish to significantly reduce the number of needed shots to achieve chemical accuracy for your VQE 😃?
Then use our adaptive POVM technique (which comes with a measurement noise mitigation feature)
https://t.co/ZEi4dO2TCl
https://t.co/wlwZ3N8yRu