Quantum Concepts
QF-101 · Foundation · Quantum Foundations. Explain states, superposition, measurement and entanglement without treating quantum behaviour as a classical analogy.
Quantonova training
Find a focused course in the quantum discipline you want to understand or apply. Explore clear entry requirements, practical work and learning goals at the right level.
Browse all coursesFoundations build the common language. Specialist courses then focus on computing, sensing, communication, security, hardware or the decisions needed to use them.
27 separate course outlines. Foundation, applied, advanced and specialist entry points are identified on every course page. Delivery arrangements are confirmed individually.
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QF-101 · Foundation · Quantum Foundations. Explain states, superposition, measurement and entanglement without treating quantum behaviour as a classical analogy.
QF-201 · Applied · Quantum Foundations. Calculate state evolution and measurement probabilities using vectors, matrices and tensor products.
QF-301 · Advanced · Quantum Foundations. Analyse mixed states, quantum channels and general measurements with clearly stated physical assumptions.
QC-101 · Foundation · Quantum Computing. Construct and interpret small quantum circuits and distinguish simulation results from hardware measurements.
QC-201 · Applied · Quantum Computing. Design testable circuits, choose a simulation approach and evaluate the effect of noise and compilation choices.
QC-301 · Advanced · Quantum Computing. Build and evaluate a hybrid workflow with explicit interfaces, execution assumptions and resource accounting.
QA-101 · Foundation · Quantum Algorithms and Applications. Explain how interference, oracles and measurement are used in algorithm design, and state what a claimed speedup compares.
QA-201 · Applied · Quantum Algorithms and Applications. Formulate a small optimisation problem and critically evaluate a variational quantum approach against classical baselines.
QA-301 · Advanced · Quantum Algorithms and Applications. Evaluate feasibility using precision, data-loading, circuit and resource assumptions rather than headline asymptotics alone.
QEC-101 · Foundation · Quantum Error Correction. Distinguish physical and logical errors and explain why protecting arbitrary quantum states requires more than classical repetition.
QEC-201 · Applied · Quantum Error Correction. Construct stabilizer checks, interpret syndromes and assess a decoder under a specified noise model.
QEC-301 · Advanced · Quantum Error Correction. Analyse fault propagation and distinguish code performance from an end-to-end fault-tolerant computation.
QS-101 · Foundation · Quantum Sensing and Metrology. Describe the probe–interaction–readout cycle and distinguish sensitivity, precision, accuracy and resolution.
QS-201 · Applied · Quantum Sensing and Metrology. Model a sensing protocol and evaluate interrogation time, noise and readout trade-offs.
QS-301 · Advanced · Quantum Sensing and Metrology. Evaluate achievable precision and assess enhancement claims under realistic resource and noise constraints.
QCOM-101 · Foundation · Quantum Communications and Networks. Explain quantum states as communication resources and distinguish quantum channels from classical control and data channels.
QCOM-201 · Applied · Quantum Communications and Networks. Analyse how link loss, heralding, memories and swapping affect an entanglement-distribution design.
QCOM-301 · Advanced · Quantum Communications and Networks. Evaluate a network protocol using defensible performance, resource and security assumptions.
QSEC-101 · Foundation · Quantum-Safe Security. Identify quantum-vulnerable public-key dependencies and distinguish PQC, QKD and conventional symmetric cryptography.
QSEC-201 · Applied · Quantum-Safe Security. Develop an evidence-based migration assessment covering algorithms, interoperability, implementation and governance.
QSEC-301 · Specialist · Quantum-Safe Security. Analyse a QKD protocol and identify the authentication, hardware and implementation assumptions behind its security.
QH-101 · Foundation · Quantum Hardware and Control. Compare qubit platforms using preparation, control, readout, connectivity and noise requirements.
QH-201 · Applied · Quantum Hardware and Control. Model a control task and explain the calibration and verification steps needed to evaluate it.
QH-301 · Advanced · Quantum Hardware and Control. Design a characterisation study and distinguish measured device behaviour from model-dependent inference.
QST-101 · Foundation · Quantum Strategy and Adoption. Distinguish computing, sensing, communication and security opportunities and recognise the limits of current claims.
QST-201 · Applied · Quantum Strategy and Adoption. Define a proportionate readiness assessment and a staged pilot with measurable decision criteria.
QST-301 · Advanced · Quantum Strategy and Adoption. Build a defensible route from research evidence to collaboration and commercial evaluation.
Every course page explains its preparation requirements, intended learning outcome, syllabus and practical task. Simulation, calculation and structured case studies provide evidence of learning; laboratory access is a separate delivery consideration.
Instructor, dates, duration, format, fees and assessment arrangements will be confirmed in a written proposal. These are enquiry-led course outlines; no accreditation, scheduled cohort or hardware access is implied.