VQE is the OG variational quantum algorithm—but the number of measurements required can scale rapidly!
In our latest demo, check out how algorithms such as graph colouring �� can help us massively reduce the number of measurements needed on hardware 👇
https://t.co/EoeYvy52uC
@MilesCranmer We've been working on an ML compiler framework that uses JAX as a frontend, and compiles via EnzymeAD+LLVM.
Dynamic support in the JAX frontend is pretty extensive, just not supported with XLA, but we managed to get it working quite well with LLVM:
https://t.co/X1k27HzMYc
Large Language Models (LLMs) are great at building up complex paragraphs from simple word tokens. What if your language building block is a unitary — can we use LLMs and GPT to build a quantum machine learning ansatz?
Why let VQE have all the fun?🎪
Learn how classical generative models can estimate ground-state energies of molecular Hamiltonians, instead of VQE.
Explore our demo applying the GQE (generative quantum eigensolver) algorithm with PennyLane👇
https://t.co/ISLKbKpUOJ
If you're at IEEE Quantum Week, our workshop on quantum software is starting now in room 523AB!
Olivia Di Matteo starts us off by asking, what is the best abstraction hierarchy for quantum programming?
At IEEE Quantum Week this year, we're organizing a workshop by people working on quantum software to discuss the problems we are trying to solve, and what people are exploring when it comes to next generation quantum software ideas and architectures:
https://t.co/eSafhgJf8K
Huge thanks to @PennyLaneAI and @DWierichs for showcasing our results!
Amazing and lightning fast as always!
If you missed the paper, you can find it here:
https://t.co/sl2k7kg3eU
🙌 We are excited to see many of you next week in Montreal at IEEE Quantum Week!
Join us with @XanaduAI , @ORNL, and @awscloud to discuss Quantum Software 2.0: Enabling Large-scale and Performant Quantum Computing: https://t.co/Rl5uNbovhr
Check out our website for more details (including the speaker/panel line up), and if you'll be in Montreal make sure to check out the talks and join in the discussion!
https://t.co/eSafhgJf8K
At IEEE Quantum Week this year, we're organizing a workshop by people working on quantum software to discuss the problems we are trying to solve, and what people are exploring when it comes to next generation quantum software ideas and architectures:
https://t.co/eSafhgJf8K
This is the workshop for you if you have recently been wondering:
- What is the current state of quantum software in 2024?
- Is our software ready to run/support useful algorithms on quantum computers?
- Why is everyone in quantum software suddenly talking about LLVM?
Excited to receive our @NVIDIA DGX supercomputer powered by NVIDIA GH200 Grace Hopper Superchips ⚡
We can't wait to integrate this amazing tech into PennyLane and Lightning!
Shallow quantum circuits are provably powerful, yet training them can be difficult. @RobertHuangHY et al overcome this obstacle with a powerful new tool, circuit sewing with local inversions.
If you don’t have time to read 88 pages, @Qottmann showcases these techniques in our latest demo: https://t.co/Ru7jeG2L9e
The full paper by @RobertHuangHY, @lyc1178, @JarrodMcclean, @Isaac__kim, @AnuragAnshu4, Michael Broughton, and Zeph Landau can be found here: https://t.co/sEN0tAcxhA