PennyLane
2.1K posts
PennyLane
@PennyLaneAI
PennyLane is an open-source software framework for QML, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built by @XanaduAI.
Katılım Eylül 2019
123 Takip Edilen8.7K Takipçiler
This new demo by Jay Soni estimates the quantum resources needed to solve the two-dimensional lid-driven cavity flow (2D-LDC) problem, utilizing Quantum Singular Value Transformation (QSVT) for matrix inversion and showcasing a highly optimized block encoding strategy. 👇
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Ready to tackle real-world problems? 💪
We're taking on computational fluid dynamics (CFD) in the next installment of our resource estimation series.
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PennyLane@PennyLaneAI
The Quantum Singular Value Transformation (QSVT) is your ticket to solving heavy-duty problems like unstructured search and matrix inversion! 🧳⚖️ 🔗👇
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The QML legacy is strong, but the platform is broader: import PennyLane as qp and explore it for yourself!
pennylane.ai/blog/2026/03/i…
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Jay Soni's latest demo from our series showcases how PennyLane's resource estimator module simplifies the analysis of QSVT circuits.
A key focus is on the most vital step for real-world application: utilizing the resource estimator to determine the cost for any system size. 👀👇
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The Quantum Singular Value Transformation (QSVT) is your ticket to solving heavy-duty problems like unstructured search and matrix inversion! 🧳⚖️
🔗👇
PennyLane@PennyLaneAI
Get the real numbers for your quantum algorithms! 👀 Quantum Signal Processing (QSP) provides some of the best scaling for Hamiltonian simulation. Calculating its cost is challenging... or at least it used to be! 🔗👇
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Don’t miss the latest blog from @AMD, where they walk through our latest work with @RollsRoyce on scaling up QSVT for aerospace engineering.
For more information, including steps on how to begin using PennyLane to solve linear systems with QSVT, read more:
AI at AMD@AIatAMD
Catch up on the latest in the #AMDevs community below! 🧵
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Juan Miguel Arrazola (@ixfoduap)'s latest demo in our resource estimation series explores Generalized Quantum Signal Processing (GQSP) for a simple spin model, as well as a Heisenberg Hamiltonian for NMR spectral prediction.
Check it out! 👇
pennylane.ai/qml/demos/tuto…
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Get the real numbers for your quantum algorithms! 👀
Quantum Signal Processing (QSP) provides some of the best scaling for Hamiltonian simulation.
Calculating its cost is challenging... or at least it used to be!
🔗👇
PennyLane@PennyLaneAI
Simulating FeMoco with <500 logical qubits? Let's weigh in! ⚖️ Continuing our series on resource estimation, this demo by Diksha Dhawan (@ddhawan_21) shows how to do just that! 🔗👇
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Check out the designs we loved most and find out how to prep for unitaryHACK.
Can you guess what the puzzles are spelling out? 👀
pennylane.ai/blog/2026/03/u…
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Heard the rumors about cash bounties for unitaryHACK? 🤠
We can't confirm the bounties, but we did just participate in the first-ever unitaryDESIGN by the @unitaryfdn!
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Use techniques like batching Givens rotations and reusing idle qubits for QROM to drastically reduce the cost of Quantum Phase Estimation (QPE) for the 76-orbital active space of FeMoco.
Don’t miss it! 👀
pennylane.ai/qml/demos/tuto…
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Simulating FeMoco with <500 logical qubits? Let's weigh in! ⚖️
Continuing our series on resource estimation, this demo by Diksha Dhawan (@ddhawan_21) shows how to do just that!
🔗👇
PennyLane@PennyLaneAI
Fault-tolerant quantum computers are advancing rapidly, but the question remains – how do we ensure our algorithms will be ready? 🤔 Resource estimation! ⚖️ 🔗👇
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Using Catalyst and Lightning on AMD GPUs, we compiled and executed a realistic 256 x 256 CFD mesh model on 20 qubits (35 million gates!) in under two hours.
Learn more in our latest blog post 👇
pennylane.ai/blog/2026/03/p…
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35 million gates in under two hours. PennyLane is bridging the gap between quantum algorithms and CFD 💪
Alongside @RollsRoyce and @AMD, we worked to scale up QSVT compilation for aerospace engineering.
🔗👇
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