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)

FeatureQuantaAnkiQuizletRemNoteKnowtChatGPT
AlgorithmFSRS-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 availableNo published algorithmNo 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 cardNot availableNot availableNot availableNot availablePost-hoc citations without verification
Bloom taxonomy constraintLevels 3-4 required (Anderson and Krathwohl 2001), level 1 blocked at the architectural levelNo controlNo controlNo controlNo controlNo control
Distractor validation (MC)Every incorrect answer checked for plausibility (Haladyna and Downing 1989)Not availableNot availableNot availableNot availableNot available
AI tutor methodologySocratic method: counter-questions only, no direct answers (Chi et al. 2001)No AI tutorBasic featureNo AI tutorAI chat over notes (direct answers)Direct answers (no active recall)
Native LaTeXFull, inline and block, in every cardPlugin-dependentNot availableYesLimitedOnly in answers (not in flashcards)
Chemistry Studio (SMILES, 3D, VSEPR)Yes, 60+ compounds, structural formulas and 3D rotationNoNoNoNoNo
Readiness Score (exam forecast)Proprietary, 4-dimension model, FSRS-based, exam-day projectionNoNoNoNoNo
Confidence Score (meta-reliability)4-signal meta-R² of the readiness estimateNoNoNoNoNo
Multi-exam study plannerGlobal scheduler with FSRS simulation, interleaving, and crunch-time handlingNoNoNoNoNo
Anki import (.apkg)Yes, completeNativeNoNoNoNo
AI cards from your notes and PDFsYes, with the source-first verbatim quote-match protocolNoLimitedYes, no source protocolYes, no source protocolYes, no scheduling
Price (monthly, annual)Basic: free forever, Pro: 6 euros per monthFree on desktop, 25 dollars on iOSabout 3 euros per month (annual)about 8 dollars per monthfree tier, about 10 dollars per month20 dollars per month (Plus)
Standalone calculation engineYes, 900 LOC of TypeScript, 4 modules, no API dependencyYes (SM-2)NoPartial (FSRS fork)UnknownNo (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).

Physics · Mechanics

Conservation of Momentum

In a closed system the total momentum is conserved, the central tool for all collision problems.

AdvancedExam-relevant

Free · no credit card · in your study plan in 2 minutes

Formula

p_vor = p_nach
LaTeX: m_1 v_1 + m_2 v_2 = m_1 v_1' + m_2 v_2'
m in kg · v in m/s · momenta in kg·m/s

Variables & units – Conservation of Momentum

SymbolMeaningUnit
m₁, m₂Masses of the collision partnerskg
v₁, v₂Velocities before the collisionm/s
v₁', v₂'Velocities after the collisionm/s

Derivation & background – Conservation of Momentum

Conservation of momentum follows from Newton's third law (action equals reaction): the internal forces of a collision cancel in pairs. It holds for every collision, elastic as well as inelastic. Kinetic energy, by contrast, is conserved only in elastic collisions; in inelastic ones part of it is converted into deformation and heat.

Exam blueprint

Validity range

Holds in closed systems with no external forces, and to a very good approximation during a brief collision. Kinetic energy is additionally conserved only in elastic collisions.

Derivation steps

By action equals reaction the internal collision forces are equal and opposite and cancel in the sum.

  1. 1During the collision F₁ = −F₂, so Δp₁ = −Δp₂.
  2. 2The momentum changes compensate: total p before = total p after.

Rearrangements

Final velocity in a perfectly inelastic collision

v' = \frac{m_1 v_1 + m_2 v_2}{m_1 + m_2}

Both bodies move on together after the collision.

Recoil velocity

v_2' = -\frac{m_1 v_1'}{m_2}

From total p = 0: what flies forward pushes the rest backward.

Task variant

A cart (3 kg, 4 m/s) couples to a cart at rest (1 kg). Find v'.

v' = (3·4 + 1·0)/(3+1) = 12/4 = 3 m/s.

A cannon (200 kg) fires a ball (2 kg) at 100 m/s. What is the recoil speed?

0 = 2·100 + 200·v₂' → v₂' = −200/200 = −1 m/s, i.e. 1 m/s backwards.

Common mistakes

Dropping the signs for opposite velocities.

Define one direction as positive; oncoming motion gets a negative v.

Additionally demanding conservation of kinetic energy in an inelastic collision.

There kinetic energy partly converts into deformation and heat; only momentum is conserved.

Not adding the masses after coupling.

After a perfectly inelastic collision the total mass m₁+m₂ moves together.

Applying momentum conservation although external forces dominate.

Only valid for brief collisions or closed systems.

Exam context

  • Exam classics: coupling carts, the ballistic pendulum, recoil, usually combined in two stages with an energy argument.

These mistakes cost points in real exams. The set drills them until they stick.

Formula cluster

Conservation laws

Momentum and energy conservation together solve every collision problem.

Worked example

Inelastic collision: a cart (m₁ = 2 kg, v₁ = 3 m/s) hits a cart at rest (m₂ = 1 kg) and couples to it: v' = (2×3 + 1×0)/(2+1) = 2 m/s.

Applications

Accident reconstruction, billiards and ball sports, the rocket equation, particle physics (scattering experiments)

Quanta exam set

Curated exam set for "Conservation of Momentum":

Question (front)

Which formula describes Conservation of Momentum?

Answer in your set

Question (front)

How do you rearrange p_vor = p_nach for Final velocity in a perfectly inelastic collision?

Answer in your set

Question (front)

Which common mistake happens with Conservation of 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

m1v1+m2v2=m1v1'+m2v2'Impulserhaltungssatz FormelImpulserhaltung Stoßelastischer Stoß Formelunelastischer Stoß Formelconservation of momentumStoßgesetze Physik

Related formulas

More Physics formulas

Frequently asked questions about Conservation of Momentum

How do you apply conservation of momentum to collisions?+

In three steps: first, fix a positive direction and write all velocities with signs. Second, form the total momentum before the collision: p_before = m₁v₁ + m₂v₂. Third, set p_before = p_after and solve for the unknown. In a perfectly inelastic collision (the bodies stick together) there is only one final velocity: v' = (m₁v₁ + m₂v₂)/(m₁ + m₂). Example: a cart (2 kg, 3 m/s) couples to a cart at rest (1 kg): v' = 6/3 = 2 m/s. In an elastic collision kinetic energy is conserved as well; then you need both equations to determine the two unknown final velocities.

What is the difference between elastic and inelastic collisions?+

Momentum is conserved in both cases; that is the common core. The difference lies in kinetic energy: in an (ideally) elastic collision it is fully conserved and the bodies bounce off each other, like billiard balls or gas molecules approximately do. In an inelastic collision part of it converts into deformation, heat and sound; in a perfectly inelastic collision the bodies stick together afterwards and move as one. Car crashes are deliberately highly inelastic: the crumple zone is meant to put as much kinetic energy into deformation as possible so it does not reach the occupants. In problems the phrase "stick together" or "couple" always signals the perfectly inelastic case.

Why is momentum conserved but kinetic energy not always?+

Momentum conservation follows directly from Newton third law: during the collision the bodies act on each other with exactly opposite, equal forces (action equals reaction). Their momentum changes are therefore opposite and equal and cancel in the sum, no matter how complicated the collision is in detail. Kinetic energy has no such protection: it can convert into other forms such as deformation work, heat or sound, and in every real collision it partly does. The energy is not lost, it merely leaves the mechanical motion. Hence: momentum conservation always (in a closed system), conservation of kinetic energy only in the elastic ideal case.

How do you calculate recoil, for example of a cannon or rocket?+

Before firing, the system is at rest and the total momentum is zero, and zero it must remain. What flies forward pushes the rest backward: 0 = m₁v₁' + m₂v₂', so v₂' = −(m₁/m₂)·v₁'. Example: a cannon (200 kg) fires a ball (2 kg) at 100 m/s. The recoil is v₂' = −(2/200)·100 = −1 m/s; the cannon rolls back at 1 m/s. The mass ratio decides everything: the heavier the cannon, the smaller its recoil. A rocket works on the same principle continuously: it constantly expels gas backward at high speed and thereby gains forward momentum, entirely without air to "push against".

When must you not apply conservation of momentum?+

The law only holds when no external forces act on the system, or when the collision is so brief that external forces transfer negligible momentum during it. A car crashing into a firmly anchored wall is the classic counterexample: the wall is connected to the Earth, the "missing" momentum goes to the Earth, and the car system alone does not keep it. Long processes with heavy friction (a rolling cart coasting to a stop) also distort the balance through the external friction force. The way out: choose the system large enough (car + Earth) or set up the balance only over the extremely short collision time. In exams: collision problems yes, prolonged friction processes no.

Retain Conservation of Momentum for exams

Create a curated FSRS exam set for p_vor = p_nach: 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 Conservation of Momentum?

Here is how to work through a typical Conservation of Momentum (p_vor = p_nach) task step by step:

  1. 1

    Task

    A cart (3 kg, 4 m/s) couples to a cart at rest (1 kg). Find v'.

    Solution path

    v' = (3·4 + 1·0)/(3+1) = 12/4 = 3 m/s.

  2. 2

    Task

    A cannon (200 kg) fires a ball (2 kg) at 100 m/s. What is the recoil speed?

    Solution path

    0 = 2·100 + 200·v₂' → v₂' = −200/200 = −1 m/s, i.e. 1 m/s backwards.

p_vor = p_nach · 10 cards ready

Study as an exam set