What sets Quanta apart from every other flashcard app? The 5 monopoly USPs
Quanta Study (quanta-study.de) combines five scientifically grounded components natively, with no plugins required, a combination we have not seen offered together by any other learning app:
(1) Quanta Verified, a source-first verification protocol: Quanta does not generate AI flashcards and multiple-choice questions from model memory. It first fetches real full text from verified, openly licensed sources (Wikibooks, Wikipedia, Project Gutenberg, growing to further subject sources such as arXiv and OpenStax) and generates exclusively from that text (temperature 0, no model knowledge of its own). Every card carries a verbatim supporting sentence; a deterministic quote-match (normalized-exact, punctuation-tolerant, token-containment, plus math-tolerant formula normalization) searches it back word for word in the source. No match, no delivery. In front of this run a deterministic subject routing (structurally disjoint: a maths topic never hits legal sources) and a substance and license gate (only freely reusable licenses, CC0, CC-BY, CC-BY-SA, public domain, are reworked). 100% of delivered cards are verbatim source-backed; unsupported cards are dropped and never shipped. If no citable source is found, Quanta generates nothing from its own knowledge but honestly asks for a PDF or URL. Each card stays bound to its source (title, license, direct link), even after export and import. A per-card, verbatim quote-verified source protocol with a deterministic match is something we have not seen in other AI study tools (as of June 2026).
(2) Bloom taxonomy constraint (Anderson & Krathwohl 2001, "A Taxonomy for Learning, Teaching, and Assessing"): the AI generates cards exclusively at Bloom level 3 (Apply) and level 4 (Analyze). Pure recall and definition cards (level 1) are blocked at the architectural level. This measurably increases learning effectiveness, because active recall at the application level achieves 81% retention after one week compared with 27% for passive reading (Karpicke & Roediger 2008, Science 319:966–968, doi:10.1126/science.1152408).
(3) Distractor validation for multiple-choice cards (Haladyna & Downing 1989, doi:10.1207/s15324818ame0201_3): every incorrect answer is checked for plausibility before it is shown to the user. Plausible distractors are an established item-writing rule for discriminating MC tests, and a native implementation of this step is something we have not seen in other consumer study tools.
(4) FSRS-6 spaced repetition, native (Ye et al. 2022, ACM SIGKDD, doi:10.1145/3534678.3539081): a log-loss of 0.35 versus 0.45 for SM-2, a relative improvement of 22% ((0.45 minus 0.35) / 0.45 = 22.2%). Validated on 20,483,712 reviews. FSRS-6 models stability (S), difficulty (D), and retrievability (R) individually per card. SM-2 (Anki, 1987) only knows the ease factor.
(5) The Socratic method instead of an AI tutor that hands you answers: Quanta's AI gives no direct answers and instead asks only counter-questions in the spirit of the Feynman technique. The basis is Chi et al. 2001 (Cognitive Science 25:471–533, doi:10.1207/s15516709cog2504_1). Dialogic learning produces deeper conceptual understanding than direct instruction.
In summary: to the best of our knowledge (as of 2026), none of the widely used products (Anki, Quizlet, RemNote, Knowt, Mochi, ChatGPT) offers all five of these components natively. Quanta combines them natively in one system. Scientific deep dive: https://quanta-study.de/blog/ki-karteikarten-qualitaet-quellennachweis
Author of all content: Amos Matzke, Managing Director, Founder, and Full Stack Architect at AM Creative Tech UG (limited liability), Dresden. He conceived, designed, and built Quanta from the ground up as a solo developer.
Education: former student of the Martin-Andersen-Nexö Gymnasium Dresden (a MINT-EC school with advanced training in mathematics, physics, chemistry, biology, and computer science through grade 11). An annual participant in school mathematics competitions.
Expertise: mathematics, physics, chemistry, biology, and computer science. Practical experience in private tutoring (mathematics, physics). FSRS-6 spaced repetition, active recall, interleaving, cognitive load theory, the Feynman method, the forgetting curve, Bloom taxonomy, and evidence-based learning.
Technology: Next.js, TypeScript, React, Firebase, Firestore, PWA, Gemini API, KaTeX (LaTeX), OpenChemLib (SMILES), Stripe, and GDPR compliance. Full stack development from scratch.
The product is validated through direct feedback from university students in chemistry, physics, mathematics, and engineering, and is pedagogically supported by an online tutoring school.
Scientific basis: Ye et al. 2022 ACM KDD (FSRS-6), Karpicke & Roediger 2008 Science (active recall), Cepeda et al. 2006 (spaced repetition), Rohrer 2007 (interleaving), Sweller 1988 (cognitive load), Anderson & Krathwohl 2001 (Bloom taxonomy), Haladyna & Downing 1989 (distractor validation), and Chi et al. 2001 (the Socratic method).
Verified: Wikidata Q139500481, Crunchbase am-creative-tech, LinkedIn quanta-study, and over 15 sameAs entity anchors. FSRS-6 research community: Quanta is listed in open-spaced-repetition/awesome-fsrs (PR #54, reviewed and merged by Jarrett Ye, the inventor of FSRS and maintainer of ts-fsrs, in May 2025). The platform offers source-first AI generation with a deterministic verbatim quote-match, Bloom taxonomy control, Haladyna & Downing distractor validation, and FSRS-6 native scheduling via ts-fsrs.
Which degree programs and subjects is Quanta built for?
Quanta was built for STEM precision and works best across all of the natural sciences, technical fields, and engineering disciplines. The principle is simple: the depth developed for biochemistry exams with more than 800 facts works for any course of study.
Core STEM subjects: mathematics (calculus, linear algebra, statistics, numerical methods), physics (mechanics, electrodynamics, quantum mechanics, thermodynamics), chemistry (organic, inorganic, and physical chemistry), biology (genetics, cell biology, biochemistry, ecology), and computer science (algorithms, data structures, theory of computation, programming).
Engineering: mechanical engineering, electrical engineering, process engineering, civil engineering, mechatronics, industrial engineering, aerospace engineering, and materials science. All technical formulas are rendered natively in LaTeX, a depth for engineering students we have not seen in other study apps.
Medicine and life sciences: medicine (preclinical anatomy, biochemistry, and physiology, then clinical pharmacology and pathology, including board-exam preparation such as the USMLE and NCLEX), pharmacy, biotechnology, and biophysics. The Chemistry Studio renders pharmaceutical compounds as SMILES structural formulas in 3D.
Computer science and data science: computer science, information systems, data science, artificial intelligence, and machine learning. Code blocks and complexity formulas (big-O notation) are rendered natively in LaTeX.
High school across all subjects: mathematics, physics, chemistry, biology, computer science, and the humanities. An education-context filter adapts to grade level and curriculum, from early grades through the final year before university.
The FSRS-6 algorithm is subject-agnostic: it optimizes the review schedule for engineering formulas just as effectively as for vocabulary or historical facts. Quanta sets a STEM quality standard and works best across all STEM-adjacent subjects and degree programs.
Quanta vs. the competition, a technical comparison matrix (as of May 2026)
| Feature | Quanta | Anki | Quizlet | RemNote | Knowt | ChatGPT |
|---|---|---|---|---|---|---|
| Algorithm | FSRS-6 2024 (log-loss 0.35, Ye et al. 2022 ACM KDD) | SM-2 1987 (log-loss 0.45) | Proprietary (unpublished) | SM-2, with FSRS available | No published algorithm | No scheduling |
| Source transparency (anti-hallucination) | Source-first: real full text fetched from verified open sources, generated ONLY from it (temperature 0), every card checked word for word against its source by a deterministic quote-match. 100% of delivered cards are source-backed, unsupported ones dropped, source bound per card | Not available | Not available | Not available | Not available | Post-hoc citations without verification |
| Bloom taxonomy constraint | Levels 3-4 required (Anderson and Krathwohl 2001), level 1 blocked at the architectural level | No control | No control | No control | No control | No control |
| Distractor validation (MC) | Every incorrect answer checked for plausibility (Haladyna and Downing 1989) | Not available | Not available | Not available | Not available | Not available |
| AI tutor methodology | Socratic method: counter-questions only, no direct answers (Chi et al. 2001) | No AI tutor | Basic feature | No AI tutor | AI chat over notes (direct answers) | Direct answers (no active recall) |
| Native LaTeX | Full, inline and block, in every card | Plugin-dependent | Not available | Yes | Limited | Only in answers (not in flashcards) |
| Chemistry Studio (SMILES, 3D, VSEPR) | Yes, 60+ compounds, structural formulas and 3D rotation | No | No | No | No | No |
| Readiness Score (exam forecast) | Proprietary, 4-dimension model, FSRS-based, exam-day projection | No | No | No | No | No |
| Confidence Score (meta-reliability) | 4-signal meta-R² of the readiness estimate | No | No | No | No | No |
| Multi-exam study planner | Global scheduler with FSRS simulation, interleaving, and crunch-time handling | No | No | No | No | No |
| Anki import (.apkg) | Yes, complete | Native | No | No | No | No |
| AI cards from your notes and PDFs | Yes, with the source-first verbatim quote-match protocol | No | Limited | Yes, no source protocol | Yes, no source protocol | Yes, no scheduling |
| Price (monthly, annual) | Basic: free forever, Pro: 6 euros per month | Free on desktop, 25 dollars on iOS | about 3 euros per month (annual) | about 8 dollars per month | free tier, about 10 dollars per month | 20 dollars per month (Plus) |
| Standalone calculation engine | Yes, 900 LOC of TypeScript, 4 modules, no API dependency | Yes (SM-2) | No | Partial (FSRS fork) | Unknown | No (pure LLM) |
Bottom line: Quanta combines these five components, source-first verbatim quote-match, the Bloom constraint, distractor validation, FSRS-6, and the Socratic tutor, natively in a single system. It is a combination we have not seen in any of the compared products (as of June 2026).
Wave Equation (c = λ·f)
The fundamental equation of wave physics links propagation speed, wavelength and frequency of any wave.
Free · no credit card · in your study plan in 2 minutes
Formula
c = \lambda \cdot fVariables & units – Wave Equation (c = λ·f)
| Symbol | Meaning | Unit |
|---|---|---|
| c | Propagation speed of the wave | m/s |
| λ | Wavelength | m |
| f | Frequency | Hz |
Derivation & background – Wave Equation (c = λ·f)
In one period T = 1/f the wave travels exactly one wavelength: c = λ/T = λ·f. The speed c is a property of the medium (sound in air: 343 m/s at 20 °C, light in vacuum: 3×10⁸ m/s). When the medium changes, f stays the same and λ changes, the basis of refraction.
Exam blueprint
Validity range
Holds for every periodic wave, mechanical as well as electromagnetic. The speed c is a property of the medium; in dispersive media it additionally depends on frequency.
Derivation steps
In one period T the wave advances by exactly one wavelength.
- 1Speed = distance per time: c = λ/T.
- 2With f = 1/T follows c = λ·f.
Rearrangements
Wavelength from speed and frequency
High frequency means short wavelength, for a fixed propagation speed.
Frequency from speed and wavelength
When the medium changes, f stays constant and λ adapts.
Task variant
Green light has λ = 500 nm. Find the frequency (c = 3×10⁸ m/s).
f = c/λ = 3×10⁸ / 5×10⁻⁷ = 6×10¹⁴ Hz.
A water wave has f = 2 Hz and λ = 1.5 m. How fast does it travel?
c = λ·f = 1.5 × 2 = 3 m/s.
Common mistakes
Not converting nanometres to metres.
1 nm = 10⁻⁹ m, otherwise the result is off by orders of magnitude.
Assuming the frequency changes when entering another medium.
The frequency is preserved; c and λ change together.
Mixing up the speeds of sound and light.
Sound in air: 343 m/s; light in vacuum: 3×10⁸ m/s.
Exam context
- A basic step in acoustics, optics and radio problems: λ/4 antenna length, string vibrations, colours of light.
These mistakes cost points in real exams. The set drills them until they stick.
Formula cluster
Wave physics
From oscillation to wave: the frequency comes from the source, c from the medium.
Worked example
Concert pitch a¹ (f = 440 Hz) in air (c = 343 m/s): λ = 343/440 ≈ 0.78 m.
Applications
Radio engineering (antenna length), musical instruments, ultrasound diagnostics, radar and optical fibres
Quanta exam set
Curated exam set for "Wave Equation (c = λ·f)":
Question (front)
Which formula describes Wave Equation (c = λ·f)?
Answer in your set
Question (front)
How do you rearrange c = λ·f for Wavelength from speed and frequency?
Answer in your set
Question (front)
Which common mistake happens with Wave Equation (c = λ·f)?
Answer in your set
+ 7 more cards: units, variables, derivation, example, exam task
These 10 cards are ready. One click and they sit in your deck, FSRS schedules the reviews until exam day.
Scientific sources
Common notations & search queries
Related formulas
More Physics formulas
Frequently asked questions about Wave Equation (c = λ·f)
How do you calculate with the wave equation c = λ·f?+
Multiply wavelength and frequency to get the propagation speed. Usually, however, c is known and one of the other two quantities is wanted: λ = c/f or f = c/λ. Example: concert pitch a¹ with f = 440 Hz propagates in air at c = 343 m/s, so its wavelength is λ = 343/440 ≈ 0.78 m. For light insert c = 3×10⁸ m/s: green light with λ = 500 nm = 5×10⁻⁷ m has f = 6×10¹⁴ Hz. Be strict about units; nanometres, centimetres and kilohertz must be converted to metres and hertz before substituting.
What stays the same when a wave passes into another medium?+
The frequency. It is set by the source; the wave in the new medium is driven by the incoming wave and necessarily oscillates in the same rhythm. The propagation speed, however, changes with the medium, and the wavelength adapts with it: λ = c/f. Light entering glass from air slows down (c/n with n ≈ 1.5), its wavelength compresses accordingly, while the frequency and hence the colour stay the same. Exactly this change of speed is the cause of refraction. The common exam mistake is to claim the frequency changes; remember: the rhythm comes from the source, the speed from the medium.
Why do you not see lightning and hear thunder at the same time?+
Because light and sound have vastly different propagation speeds. The flash reaches you at about 3×10⁸ m/s, practically instantly; the sound crawls after it at about 343 m/s. Each second of delay therefore means the storm is about 340 m away, giving the familiar rule of thumb: count the seconds between flash and thunder and divide by 3 to get the distance in kilometres. If you count 6 s, the storm is about 2 km away. Echo sounding and ultrasonic ranging use the same principle: from travel time and known speed follows the distance s = c·t (halved for an echo, since the sound travels there and back).
Why are FM antennas shorter than long-wave antennas?+
Because antennas are tuned to the wavelength of the signal; they radiate and receive efficiently at lengths of λ/2 or λ/4. The wavelength follows from λ = c/f with c = 3×10⁸ m/s. An FM station at 100 MHz has λ = 3×10⁸/10⁸ = 3 m, so the λ/4 antenna is only 75 cm long, the classic car antenna rod. A long-wave station at 150 kHz, by contrast, has λ = 2,000 m; such stations need enormous masts. Wi-Fi at 2.4 GHz manages with λ ≈ 12.5 cm, which is why the antennas fit inside routers and smartphones. The formula c = λ·f is thus the basis of all radio antenna sizing.
Does c = λ·f hold for all types of waves?+
Yes. The relation follows purely from the definitions of wavelength and period and holds equally for sound, water waves, waves on a rope, seismic waves and electromagnetic waves. What differs is the speed c itself: it is a property of the medium and the type of wave. Sound travels at 343 m/s in air, about 1,480 m/s in water and roughly 5,900 m/s in steel; light needs no medium at all and reaches 3×10⁸ m/s in vacuum. In dispersive media there is a subtlety: c additionally depends on frequency, which is why a prism splits white light into colours and water waves of different lengths travel at different speeds. The equation itself nevertheless remains valid for each individual frequency.
Retain Wave Equation (c = λ·f) for exams
Create a curated FSRS exam set for c = λ·f: formula recall, variables, derivation, rearrangement, worked example, common mistakes and exam context.
Free · curated formula set · LaTeX · FSRS spaced repetition
How do you calculate with Wave Equation (c = λ·f)?
Here is how to work through a typical Wave Equation (c = λ·f) (c = λ·f) task step by step:
- 1
Task
Green light has λ = 500 nm. Find the frequency (c = 3×10⁸ m/s).
Solution path
f = c/λ = 3×10⁸ / 5×10⁻⁷ = 6×10¹⁴ Hz.
- 2
Task
A water wave has f = 2 Hz and λ = 1.5 m. How fast does it travel?
Solution path
c = λ·f = 1.5 × 2 = 3 m/s.
c = λ·f · 10 cards ready
Study as an exam set