Your first quantum circuit: two qubits, one good question
Build a Bell-state example in QFlow, predict the ideal outcomes and learn what a histogram can—and cannot—tell you about entanglement.
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QFlow news and research
Ideas worth looking into.
Product notes, practical explanations and sourced reads to help you take the next step.
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- Oct 2026
Education
Research library
Showing 1-10 of 11 articles, 10 articles per page.
First circuits, guided practice and ideas worth understanding.
Simulator or quantum hardware? Read the label first
Ideal probabilities, sampled counts and physical-device measurements tell different stories. A simple comparison helps you choose the right first run.
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Learning together: the Quantum Hacettepe community pilot
A focused community pilot explores how students move from a short quantum lesson to an editable circuit, a simulation and a useful explanation.
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Learning quantum computing one small experiment at a time
You do not need a large algorithm to begin. Use short lessons, a visible circuit and one prediction to turn unfamiliar quantum ideas into practice.
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What a quantum chemistry result says about drug discovery
A molecular calculation can be useful without establishing a new medicine. Follow the model, baseline and validation steps behind a healthcare headline.
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Reading quantum biology claims without skipping the biology
Quantum chemistry, genomics algorithms and biological quantum effects are different subjects. Identify the model and measured outcome before connecting them.
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Cirq and OpenFermion: two different parts of the job
Cirq describes circuits; OpenFermion helps work with fermionic models. Keeping those roles clear makes quantum chemistry examples easier to read.
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A calmer way to follow quantum research
Organize new papers by the question they answer: algorithms, devices, error correction or software. A small reading list is easier to use than a headline stream.
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Helping a quantum lesson survive the first confusing result
Students learn more when a surprising result has a clear explanation. Build lessons around predictions, small changes and visible experiment settings.
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Following quantum progress without losing the details
Error correction, control flow and application experiments are advancing on different tracks. Read each result according to the question it actually tests.
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Editorial standard
Understand the idea. Then try something.
Short explanations, practical QFlow guides and primary sources you can follow. We distinguish a working example from a research result, and an illustration from measured data.
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Pagination keeps the visual library manageable. This compact archive keeps every canonical article directly discoverable for readers, search engines, and retrieval tools.
- 01Education · 2026-10-28Your first quantum circuit: two qubits, one good question
- 02Operations · 2026-10-28A clearer QFlow workspace, from the first gate to the result
- 03Workflow · 2026-10-28From a Hub example to a circuit you can actually inspect
- 04Hardware · 2026-10-28Three questions to ask about quantum progress in 2026
- 05Education · 2026-10-28Simulator or quantum hardware? Read the label first
- 06Education · 2026-09-02Learning together: the Quantum Hacettepe community pilot
- 07Education · 2026-06-02Learning quantum computing one small experiment at a time
- 08Workflow · 2026-06-02Reading a quantum circuit before writing more code
- 09Workflow · 2026-06-02A first look at QFlow: build, inspect, run, understand
- 10Workflow · 2026-06-02What quantum workflow software actually helps you do
- 11Hardware · 2026-06-02Reading a Rydberg sensing result carefully
- 12Operations · 2026-06-02QKD and post-quantum cryptography solve different problems
- 13Education · 2026-06-02What a quantum chemistry result says about drug discovery
- 14Education · 2026-06-02Reading quantum biology claims without skipping the biology
- 15Hardware · 2026-06-02Three different meanings of “AI for quantum”
- 16Operations · 2026-05-30Asking an AI assistant to change a quantum circuit
- 17Operations · 2026-05-30What to save after a quantum experiment
- 18Operations · 2026-05-30Why an annealing problem is not a gate circuit
- 19Workflow · 2026-05-30From a quantum model to a circuit with Qmod
- 20Hardware · 2026-05-30Why your compiled quantum circuit looks different
- 21Education · 2026-05-30Cirq and OpenFermion: two different parts of the job
- 22Hardware · 2026-05-30Where CUDA-Q fits in a quantum experiment
- 23Workflow · 2026-05-30What a quantum resource estimate can tell you
- 24Workflow · 2026-05-30Understanding an Amazon Braket hybrid job
- 25Workflow · 2026-05-30Before your first Qiskit Runtime job
- 26Operations · 2026-05-30Preparing software for post-quantum cryptography
- 27Hardware · 2026-05-30What changes when a circuit can react to a measurement
- 28Hardware · 2026-05-30When AI helps tune a quantum device
- 29Hardware · 2026-05-30Logical qubits: what to look for beyond the headline
- 30Education · 2026-05-30A calmer way to follow quantum research
- 31Operations · 2026-05-30Choosing between quantum tools by the work you need to do
- 32Education · 2026-05-30Helping a quantum lesson survive the first confusing result
- 33Workflow · 2026-05-30The questions worth asking before a quantum pilot
- 34Workflow · 2026-05-26From quantum announcement to a useful experiment
- 35Operations · 2026-05-26What a quantum company’s valuation cannot tell you
- 36Operations · 2026-05-26Making sense of the quantum computing company map
- 37Education · 2026-05-26Following quantum progress without losing the details
- 38Workflow · 2026-05-26A practical shortlist for your first quantum tool stack
- 39Education · 2026-05-25Turning a quantum roadmap into a realistic next step
- 40Operations · 2026-05-25Make the next quantum experiment easier to understand
- 41Hardware · 2026-05-25Comparing a noisy quantum result with its ideal version
- 42Workflow · 2026-05-25The classical work around a quantum program