A key algorithm used by scientists who work with numbers is the Monte Carlo method, published in 1953. A crucial co-author, the promising Arianna Rosenbluth of @LosAlamosNatLab, left physics soon after to raise kids and support her husband's career. #HPC https://t.co/KLluxW9mgJ
Tomorrow at our community call we will learn about adjoint differentiation.
This method can speed up your training of quantum circuits on simulators. π
Meet us at the Unitary Fund Discord
https://t.co/jdB2S3LxbQ
Add the calls to your google calendar
https://t.co/wFXT6AiH5j
Gradient-based training of quantum computers is a core part of quantum machine learning π
On hardware we have the parameter-shift rule.
On a simulator? Use efficient quantum backpropagation via the adjoint method.
Learn more with @PyrochloreLee π₯π
https://t.co/6N4hZVX1eL
PennyLane v0.19 has just dropped π€
-βοΈ End-to-end differentiable quantum chemistry with our new differentiable Hartree-Fock solver
-π€ Powerful new transforms
-π Across the board batch execution
-π£ Error mitigation with @UnitaryFund Mitiq
And more!
https://t.co/4ModAS3OYN
Tomorrow at 11am ET is our next community call!
We will uncover the secrets π΅οΈ that happen under the hood when you execute a PennyLane circuit.
Come meet us and ask us your questions. Also don't hesitate to share with your network. https://t.co/jdB2S3LxbQ
Tomorrow at 11am ET is our next community call!
We will uncover the secrets π΅οΈ that happen under the hood when you execute a PennyLane circuit.
Come meet us and ask us your questions. Also don't hesitate to share with your network. https://t.co/jdB2S3LxbQ
PennyLane version 0.16 is out in the wild! π
Weβve got a great number of new modules and features such as:
- Quantum kernels π½
- Resource information ππͺ΅π§±πΎπͺ¨
- Fourier visualizations π
- Pauli group π π π
- QAOA cycle module π
- Always more quantum operations βοΈ