Your guide to quantum computing.
0%
Menu
What Is Quantum? The Technology The Different Quantum Computers Changing the World The Security Story Investing Landscape Learn (curriculum) Companies Applications Glossary Timeline Evaluating Claims Courses Quantum, But Friendly Inside a Quantum Computer Quantum in the Real World Quantum Computing Foundations Quantum Circuits, Algorithms, and Industry Fault-Tolerant Quantum Computing and Technical Strategy My Progress News FAQ Additional Resources Ask Quantum AI Agents ★ Saved
About About us Methodology Contact Disclaimer
My Progress
0%

Quantum Curious

See full progress
SAVE YOUR PROGRESS

Progress lives in this browser and is lost if you log out or clear it: unless you save it with your email. Same email on any device = same progress.

Dark mode

Guided View
New to all this? We add extra plain-English hints and reminders as you learn. Same lessons, with the help built in.

Expert View
You just want the lessons: clean, fast and compact, with no extra reminders. This is the default view.

Interface language

Technology / Hardware

Hardware: the modality comparison

The reference table. Seven ways to build a qubit plus the software layer above them. Physical principle, strengths, challenges, maturity, and who is pursuing each. Quantitative specs change quarterly, so this table carries honest unknowns rather than invented numbers.

ModalityHow the qubit is implementedStrengthsChallengesMaturityCompanies
Superconducting circuits Microwave-controlled electrical circuits at millikelvin temperatures Fast gates · Semiconductor-style fabrication · Mature ecosystem Cryogenics · Wiring · Crosstalk · Coherence early-commercial (cloud access); fault tolerance in progress IBM · Google Quantum AI · Rigetti Computing · IQM · Fujitsu / RIKEN · AWS (Amazon) · Alice & Bob
Trapped ions Electromagnetically trapped charged atoms controlled with lasers High-fidelity operations · Long coherence · Strong connectivity Slower gates · Optical complexity · Scaling ion control early-commercial (cloud access); scaling architectures in progress IonQ · Quantinuum · Alpine Quantum Technologies · Universal Quantum
Neutral atoms Laser-trapped neutral atoms arranged in programmable arrays Large arrays · Flexible geometry · Promising scaling Gate fidelity · Atom loss · Control and readout prototype → early-commercial QuEra · Pasqal · Atom Computing · Infleqtion · planqc
Photonic Single photons and optical modes Room-temperature transmission · Networking potential Photon loss · Deterministic sources · Detectors · Large overhead prototype; betting on a leap to fault tolerance PsiQuantum · Xanadu · Quandela · ORCA Computing
Silicon spin qubits Electron or nuclear spins in semiconductor devices Tiny footprint · Compatibility with chip manufacturing Uniformity · Control · Cryogenic integration research → prototype Intel · Diraq · Quantum Motion · Silicon Quantum Computing · Quobly
Topological Quantum information protected by exotic quasiparticle states Potentially intrinsic error resilience Underlying physics and scalable implementation remain difficult research Microsoft
Quantum annealing Analog evolution toward low-energy solutions (a distinct paradigm, not gate-based) Commercial access · Large device sizes Not equivalent to universal gate-model computing · Advantage is problem-specific commercial for specific optimization workloads D-Wave
Software & error suppression The hardware-agnostic layer: control, error suppression, algorithm design, middleware Wins whichever qubit recipe prevails Value depends on the hardware ecosystem maturing commercial today; grows with every machine shipped Q-CTRL · Classiq · Multiverse Computing

Gate speeds, fidelities, coherence times and qubit counts are deliberately absent: they change quarterly and vendor figures are not independently comparable. Where a spec matters, check the primary sources on each modality page. Treat "unknown" as the honest state, not a gap.

Physical vs logical architecture

PHYSICAL QUBITS noisy · error-prone · many error-correcting code + decoding ONE LOGICAL QUBIT reliable · what algorithms see one logical qubit may need hundreds or thousands of physical qubits plus classical control

A complete system also requires cryogenics or vacuum, control electronics, calibration software, compilers, networking, and classical compute. The race that matters is not toward bigger chips but toward reliable logical operations at useful scale. "Below threshold" behavior, where growing the code shrinks the logical error rate.

Investor lens: each row is a different bet with a different risk shape, and no modality has conclusively won. The same map with tickers and framing lives on the investing page; the friendlier card version is The Different Quantum Computers.

Go deeper (5 minutes each)

The friendly versionthe same seven, as cards Company directoryeveryone building, filterable Hardware, Noise, and Error Correctionthe beginner module Hardware and Systems Architecturethe advanced module

Want to make it stick? The Academy covers hardware at every tier: from the beginner hardware module to advanced systems architecture.

Start the fun lessons → Free · no grades, no pressure · playful quizzes with unlimited retakes

Quantum, But Friendly

How Small Is Small?The Spinning CoinBit vs QubitSpooky Friends Final test

Inside a Quantum Computer

The Golden ChandelierHow It ThinksGood At, Bad At Final test

Quantum in the Real World

Quantum You Already OwnThe Great Quantum RaceFollowing the Quantum Money Final test

The Academy

Quantum Computing FoundationsQuantum Circuits, Algorithms, and IndustryFault-Tolerant Quantum Computing and Technical Strategy The full curriculum

Quick answers

GlossaryFAQ Additional ResourcesAsk Quantum Quantum News