@qiskit

Qiskit is a quantum computing software development kit and open-source community of people who believe anyone can learn how to program a quantum computer.

 New York, NY
qiskit.org
Joined September 2017
  • Tweets2.2K
  • Following211
  • Followers28.6K
407Media
We use the feedback and insights from the @unitaryfdn Quantum Open Source Software Survey to help inform our updates to #Qiskit and the IBM Quantum Platform. Take the survey and help us make quantum computing more accessible for everyone. surveymonkey.com/r/QOSSSurve…
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🌐 The 2026 Quantum Open Source Software Survey is open! Share your perspective on the quantum software ecosystem and help shape a clearer picture of our community. 📝 Take the ~20-min survey and make your voice heard: buff.ly/6iZCwAC
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What’s new at IBM Quantum? 🛠️ Client-side error mitigation 🧰 Qiskit Mitigation & Qiskit Noise Learning 💻 Local-mode prototyping 🧭 New directed execution resources Catch up on everything from Q3: ibm.com/quantum/blog/whats-n…
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Use #Qiskit from Fortran, C++, and Julia. Qiskit's C API connects the languages of scientific computing directly to Qiskit's Rust core, making it easier to bring quantum workflows into existing scientific and HPC applications. No Python required. ibm.com/quantum/blog/qiskit-…
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Convenience when you want it, control when you need it. Directed execution gives you explicit, client-side control over how your circuits run on IBM Quantum hardware—without trading off performance. Upgrade to qiskit-ibm-runtime 0.50.0 to get started: ibm.com/quantum/blog/directe…
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Qiskit retweeted
Q-CTRL@qctrlHQSep 24
Replying to @IBMQuantum
@IBMQuantum Nighthawk R2 is IBM's fastest processor yet. Fire Opal made it faster. Our fermionic simulation benchmark on ibm_phoenix ran 12x faster, with less than 1% deviation. Read the results, then run your own circuits with Fire Opal: buff.ly/sEU8uEo #Qiskit
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There is no single best portfolio when optimizing for return, risk, and diversification. There is only a Pareto front of trade-offs. In our #Qiskit tutorial, learn how to use quantum approximate multi-objective optimization to explore these trade-offs: quantum.cloud.ibm.com/docs/e…
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Qiskit retweeted
Qiskit@qiskitSep 8
The 2026 @IBM Quantum user survey is now open: your.feedback.ibm.com/jfe/fo… Over the last two years, your input has helped us improve #Qiskit stability, expand documentation examples, and clarify learning experiences. Help us prioritize what's next.
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Qiskit Fall Fest 2026 is live: ibm.com/quantum/events/fall-… The program brings quantum computing to local communities around the world through in-person and virtual events planned by university students and volunteers, with support from @IBM Quantum. Sign up. Connect. Learn. #Qiskit
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Join us Friday, 18 September 2026, from 12 pm to 1 pm EST for our reddit #AMA on r/askscience with Matthew Hollister, Head of Cryogenic Systems Engineering for @IBM Quantum: reddit.com/r/askscience/comm… #IBM #QuantumComputing #engineering #cryogenics
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Introducing “Tools for Quantum Advantage,” a new course from IBM Quantum highlighting the tools necessary for getting the most out of modern quantum computers and bringing useful quantum computing to the world: youtube.com/watch?v=VUKaBVEC…
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In this series, we’ll focus on methods for handling quantum errors and noise, including error suppression, mitigation, and correction. Stay tuned. New episodes will be released over the next few weeks on the #Qiskit YouTube channel, and the full playlist will be available soon.
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The 2026 @IBM Quantum user survey is now open: your.feedback.ibm.com/jfe/fo… Over the last two years, your input has helped us improve #Qiskit stability, expand documentation examples, and clarify learning experiences. Help us prioritize what's next.
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Qiskit SDK v2.5 has landed! 🚀 This release strengthens the foundations with major improvements in performance, extensibility, and fault-tolerant compilation workflows. Explore the technical summary here: ibm.com/quantum/blog/qiskit-…
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Qiskit v2.4 is now available: ibm.com/quantum/blog/qiskit-… The update strengthens Qiskit as a platform for real quantum workloads, with support for compiled Python extensions via the C API, faster QPY serialization, and improvements in Qiskit’s fault‑tolerant transpilation pipeline.
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Attended a World Quantum Day session (April 14) and explored quantum computing. From superposition & entanglement to real-world use cases like drug discovery and finance, quantum is no longer just theory. You can start today using tools like @qiskit @IBM #QuantumComputing
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Qiskit Functions abstract away the complexity of quantum-classical workflows to help applications researchers run large‑scale quantum experiments on today’s quantum hardware—no deep expertise required: ibm.com/quantum/blog/functio…
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A new learning course—“Integrating Quantum and High-Performance Computing”—is now available and free to take on the IBM Quantum Platform: quantum.cloud.ibm.com/learni… Watch the full video on #Qiskit Youtube here: youtube.com/watch?v=BCmgyNDD…
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In this new course, we outline Quantum + high-performance classical computing (#HPC). Specifically, we describe different compute resources, outline various programming workflows, and demonstrate an example application using sample-based quantum diagonalization (SQD).
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The new #Qiskit v2.3 release expands the C API—adding faster, more flexible tools for custom circuit optimization in hybrid quantum-HPC workflows. Full technical summary here: ibm.com/quantum/blog/qiskit-…
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