Josh Izaac
@3rdquantization
Quantum physicist, software tinkerer. Likes writing documentation. Director of Product at @XanaduAI. Views are my own.
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Sometimes as part of my job I get the opportunity to draw diagrams of quantum circuits being funnelled (and I love it)
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 👇 pennylane.ai/qml/demos/tuto…
One day @llvmorg will be quantum... But what does that look like? Well, @3rdquantization gives a glimpse into what it might look like! 🔗🎦⤵️
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👇 pennylane.ai/qml/demos/gqe_…
Was great to have you there and to hear more about Guppy!
What a conference! So much energy, the highlight for me was the Quantum Software 2.0 workshop and meeting so many like minded people.
This year’s @IEEEQuantumWeek covers more #QuantumComputing #Software topics than ever before (in keynotes, technical presentations, workshops, etc.). Obviously, we are loving that! 😉 And we are happy to contribute to that.🙂 1/4 #IEEEQuantumWeek #QCE2024
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: arxiv.org/abs/2409.01706
Last week, Angrisani et al. showed that a classical simulation technique can efficiently estimate expectation values of many parametrized quantum circuits, on average across parameters. This week, we have a demo: pennylane.ai/qml/demos/tuto…
🙌 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: lnkd.in/gAemeX9T
Heading to @IEEEQuantumWeek, and wondering: is our software ready to run meaningful algorithms on quantum computers? Join co-organizers from @ORNL @XanaduAI @awscloud and @unitaryfund for a workshop on Quantum Software 2.0 to discuss next-gen quantum software…
If you're headed to @IEEEQuantumWeek 2024, check out this workshop on #quantum #software. #QCE2024 #QCE24 #QuantumComputing #OpenSource #QuantumOpenSource
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: sites.google.com/view/quantum-s…
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!
Incredible work by @Qottmann writing a demo on a paper just a few days after it was released
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…
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…
To celebrate PennyLane's 5th birthday, we've got a very special gift 🎁 Introducing Gatemojis! Finally, a way to express your innermost feelings in the form of quantum circuits 😌 Download here 👇 and add to your favourite Slack/Discord servers: github.com/PennyLaneAI/ga…
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@ihdeutsch -
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Travis L. Scholten
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