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).
Momentum
Momentum is the product of mass and velocity, the measure of the "quantity of motion" of a moving body.
Free · no credit card · in your study plan in 2 minutes
Formula
p = m \cdot vVariables & units – Momentum
| Symbol | Meaning | Unit |
|---|---|---|
| p | Momentum (vector quantity) | kg·m/s |
| m | Mass | kg |
| v | Velocity | m/s |
Derivation & background – Momentum
Newton originally formulated his second law via momentum: F = dp/dt, the force is the time rate of change of momentum. From this follows the impulse F·Δt = Δp: a small force over a long time changes the momentum as much as a large force over a short time. That is the principle behind airbags and crumple zones.
Exam blueprint
Validity range
The classical form p = m·v holds for speeds far below the speed of light. Momentum is a vector, so direction and sign must be tracked.
Derivation steps
Momentum is the quantity of motion whose time rate of change is the force (Newton in original form).
- 1Newton: F = dp/dt, force changes momentum.
- 2For constant mass, p = m·v is the quantity whose derivative gives m·a.
Rearrangements
Velocity from momentum
For the same momentum the lighter body is faster.
Impulse
A long interaction time lowers the required force, the principle of airbags and crumple zones.
Task variant
A body has p = 15 kg·m/s at m = 3 kg. Find v.
v = p/m = 15/3 = 5 m/s.
A ball changes its momentum by 10 kg·m/s in 0.05 s. What average force acts?
F = Δp/Δt = 10/0.05 = 200 N.
Common mistakes
Confusing momentum with kinetic energy.
p = m·v is linear in v and a vector; E_kin = ½mv² is quadratic and scalar.
Ignoring signs for opposite motions.
Fix one direction as positive and insert the opposite direction as negative.
Giving the unit as newtons.
Momentum has kg·m/s (= N·s); the newton is the unit of force.
Exam context
- The building block for collision problems and impulse considerations (impact forces, airbags), often combined with momentum conservation.
These mistakes cost points in real exams. The set drills them until they stick.
Formula cluster
Momentum and collisions
Momentum definition, the conservation law and Newton laws form one unit.
Worked example
A football (m = 0.43 kg) flies at v = 25 m/s: p = 0.43 × 25 ≈ 10.8 kg·m/s.
Applications
Crash test evaluation, airbag design, rocket propulsion (recoil), ball sports analysis
Quanta exam set
Curated exam set for "Momentum":
Question (front)
Which formula describes Momentum?
Answer in your set
Question (front)
How do you rearrange p = m·v for Velocity from momentum?
Answer in your set
Question (front)
Which common mistake happens with Momentum?
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 Momentum
How do you calculate the momentum of a body?+
Multiply the mass in kilograms by the velocity in metres per second: p = m·v, with the unit kg·m/s. A football of 0.43 kg at v = 25 m/s has p = 0.43 × 25 ≈ 10.8 kg·m/s. Important: momentum is a vector; it points in the direction of motion, and in problems with oncoming traffic the two directions need opposite signs. Unlike kinetic energy, the velocity enters only linearly: a ball twice as fast has twice the momentum but four times the energy. Convert km/h to m/s before substituting (divide by 3.6), otherwise the unit is wrong.
What is the difference between momentum and kinetic energy?+
Both describe motion, but differently: momentum p = m·v is a vector with direction and grows linearly with v; kinetic energy E = ½mv² is a scalar without direction and grows quadratically. The difference becomes decisive in collisions: total momentum is conserved in every collision, kinetic energy only in elastic ones. Two equally heavy carts colliding head-on at equal speed and sticking together have zero total momentum; after the impact both stand still. Their entire kinetic energy then goes into deformation and heat. Mnemonic: momentum describes "impact with direction", energy the "working capacity" of motion.
What is impulse and what does it have to do with momentum?+
Impulse is force times interaction time: F·Δt = Δp, equal to the change in momentum. This form of Newton second law explains many safety techniques: the momentum change in an impact is fixed (from v to 0), but the longer the time Δt, the smaller the required force F = Δp/Δt. Airbags, crumple zones and bending your knees on landing extend exactly this time. Worked example: a ball changes its momentum by 10 kg·m/s. With Δt = 0.05 s the force is F = 200 N; if a soft catch stretches the time to 0.5 s, it is only 20 N. In exams this appears as the "average force during impact".
Why is momentum a vector and why does that matter?+
Because velocity has a direction, momentum p = m·v inherits it. In practice this means: in every problem you first fix a positive direction and give motions against it a negative sign. A car with p = +20,000 kg·m/s and an oncoming one with p = −15,000 kg·m/s together have +5,000 kg·m/s, not 35,000. The vector also matters for reversals: if a ball (m = 0.5 kg) hits a wall at 10 m/s and bounces back at 8 m/s, then Δp = 0.5·(−8 − 10) = −9 kg·m/s; the magnitudes add. Anyone who merely subtracts magnitudes here significantly underestimates the momentum change and hence the force.
What is the unit of momentum and how do you check it?+
The SI unit is kilogram metre per second (kg·m/s). It is identical to the newton second (N·s), since 1 N = 1 kg·m/s², so 1 N·s = 1 kg·m/s. This dual form is practical: kg·m/s fits the definition p = m·v, N·s fits the impulse F·Δt = Δp. A quick unit check exposes many arithmetic errors: if you end up with joules (kg·m²/s²), you accidentally used v² and computed energy instead of momentum; if you get newtons, the time is missing in the impulse. Also note: momentum values are only comparable when mass is in kg and velocity in m/s; grams and km/h lead to errors of several orders of magnitude.
Retain Momentum for exams
Create a curated FSRS exam set for p = m·v: 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 Momentum?
Here is how to work through a typical Momentum (p = m·v) task step by step:
- 1
Task
A body has p = 15 kg·m/s at m = 3 kg. Find v.
Solution path
v = p/m = 15/3 = 5 m/s.
- 2
Task
A ball changes its momentum by 10 kg·m/s in 0.05 s. What average force acts?
Solution path
F = Δp/Δt = 10/0.05 = 200 N.
p = m·v · 10 cards ready
Study as an exam set