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 · Optics

Double-Slit Interference

The double-slit formula gives the directions of the interference maxima: reinforcement occurs when the path difference d·sinα is an integer multiple of the wavelength.

AdvancedExam-relevant

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Formula

d·sin(α_k) = k·λ
LaTeX: d \cdot \sin(\alpha_k) = k \cdot \lambda
d in m · α_k in degrees [°] · k dimensionless · λ in m

Variables & units – Double-Slit Interference

SymbolMeaningUnit
dSeparation of the two slitsm
α_kAngle to the maximum of order k°
kOrder of the maximum (0, 1, 2, ...)dimensionslos
λWavelength of the lightm

Derivation & background – Double-Slit Interference

Thomas Young demonstrated the wave nature of light with the double-slit experiment in 1801. Elementary waves emerge from both slits; if their path difference is k·λ they reinforce (maximum), at (k + ½)·λ they cancel (minimum). For small angles the approximation sin α ≈ tan α = x/L holds, with screen distance L and distance x of the maximum from the centre. The same formula describes the maxima of an optical grating, there with the grating constant d.

Exam blueprint

Validity range

Holds in the far field (screen distance large compared with the slit separation) for coherent, monochromatic light. Since sin α ≤ 1 there are only finitely many orders: k ≤ d/λ.

Derivation steps

Two elementary waves reinforce each other when their path difference is a multiple of the wavelength.

  1. 1For a distant point at angle α the path difference of the two rays is Δs = d·sin α.
  2. 2Constructive interference requires Δs = k·λ, hence d·sin α_k = k·λ; minima lie at (k + ½)·λ.

Rearrangements

Wavelength

\lambda = \frac{d \cdot \sin(\alpha_k)}{k}

This determines the wavelength of light by measuring lengths.

Maximum position on the screen

x_k \approx \frac{k \cdot \lambda \cdot L}{d}

Small-angle approximation sin α ≈ tan α = x/L.

Slit separation

d = \frac{k \cdot \lambda}{\sin(\alpha_k)}

Calibrating an unknown double slit or grating.

Task variant

d = 0.2 mm, screen at L = 2 m: the 1st maximum lies 6.4 mm from the centre. Find λ.

λ = d·x/(k·L) = 2×10⁻⁴ × 6.4×10⁻³/(1 × 2) = 6.4×10⁻⁷ m = 640 nm (red light).

At what angle does the 2nd maximum appear for d = 4 µm and λ = 500 nm?

sin α = k·λ/d = 2 × 5×10⁻⁷/4×10⁻⁶ = 0.25, so α = arcsin(0.25) ≈ 14.5°.

Common mistakes

Using the small-angle approximation at large angles.

Beyond about 10° compute with sin α exactly; tan α then deviates visibly.

Swapping the maxima and minima conditions.

Maxima at k·λ, minima at (k + ½)·λ path difference.

Confusing slit separation d with slit width.

d is the centre-to-centre separation; the slit width only shapes the brightness envelope.

Mixing nm, µm and mm.

Convert all lengths to metres and only convert back at the end.

Exam context

  • Standard in exams: wavelength determination from screen patterns, switching between double slit and grating and transfer to electron diffraction (de Broglie).

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

Formula cluster

Wave optics

The classic proof of wave nature, connected to diffraction and matter waves.

Worked example

Double slit d = 0.1 mm, laser λ = 600 nm: 1st maximum at sin α = λ/d = 6×10⁻³, so α ≈ 0.34°. On a screen at L = 2 m it lies x ≈ 12 mm from the centre.

Applications

Wavelength measurement with grating or double slit, spectroscopy, structure analysis (X-ray diffraction), demonstrating the wave properties of electrons

Quanta exam set

Curated exam set for "Double-Slit Interference":

Question (front)

Which formula describes Double-Slit Interference?

Answer in your set

Question (front)

How do you rearrange d·sin(α_k) = k·λ for Wavelength?

Answer in your set

Question (front)

Which common mistake happens with Double-Slit Interference?

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

d*sin(alpha)=k*lambdaDoppelspalt FormelGangunterschied Formeldouble slit formulaInterferenz Maxima berechnenGitter Formel OptikYoung Doppelspaltversuch

Related formulas

More Physics formulas

Frequently asked questions about Double-Slit Interference

How do you calculate the positions of the maxima in the double slit?+

The angles of the maxima follow from d·sin(α_k) = k·λ: sin(α_k) = k·λ/d with order k = 0, 1, 2, ... The zeroth maximum always lies straight ahead in the centre. Example: d = 0.1 mm and λ = 600 nm give for k = 1 the value sin α = 6×10⁻⁷/10⁻⁴ = 0.006, so α ≈ 0.34°. The position on a screen at distance L follows from geometry: x = L·tan α, for small angles x ≈ k·λ·L/d, here 12 mm. The maxima are then equally spaced. Convert all lengths consistently to metres; mixing nm, µm and mm is the most common source of error.

What is the path difference and why does it decide bright and dark?+

The path difference Δs is the difference in distance the waves travel from the two slits to a point on the screen; for distant points Δs = d·sin α. It determines the relative timing of the two waves there. If Δs is a whole multiple of the wavelength (0, λ, 2λ, ...), crest meets crest: constructive interference, a bright maximum. If Δs is a half-integer multiple (λ/2, 3λ/2, ...), crest meets trough and the waves cancel: a dark minimum. Everything in between produces intermediate brightness. That light plus light yields darkness at the dark places is the decisive wave argument; particle trajectories alone could never explain it.

How do you determine the wavelength of light with a double slit?+

You measure lengths and convert back to nanometres; that is the core of the Young experiment. Illuminate the double slit with the light to be measured, ideally a laser, and measure three quantities: the slit separation d, the screen distance L and the distance x of the first maximum from the centre. For small angles λ = d·x/(k·L). Example: d = 0.2 mm, L = 2 m, first maximum at x = 6.4 mm: λ = 2×10⁻⁴ × 6.4×10⁻³/2 = 6.4×10⁻⁷ m = 640 nm, red light. It becomes more accurate if you average over several orders or measure the distance across many maxima and divide.

What changes when you vary the slit separation or the wavelength?+

From sin α = k·λ/d both trends can be read off directly. A larger wavelength spreads the pattern: red light (about 650 nm) produces maxima farther apart than blue (about 450 nm); with white light this creates coloured fringes, blue on the inside, red on the outside. A smaller slit separation also spreads the pattern, so a finer double slit separates better. Conversely, for large d the maxima crowd together until they merge, which is why you never observe interference from two windows. In addition sin α ≤ 1 limits the number of orders to k ≤ d/λ: for d = 4 µm and λ = 500 nm only orders up to k = 8 exist.

Does the double-slit experiment also work with electrons?+

Yes, and it is one of the most important experiments of quantum physics. Sending electrons through a double slit produces the same fringe pattern on the detector as light, described by the same formula d·sin α = k·λ, only with the de Broglie wavelength λ = h/p of the electron. The astonishing part: the pattern builds up even when the electrons fly one at a time; each electron in a sense interferes with itself. If, however, you measure which slit the electron passes, the pattern disappears. The experiment thus demonstrates wave-particle duality and the role of measurement, and in final exams it is the standard bridge from optics to quantum physics.

Retain Double-Slit Interference for exams

Create a curated FSRS exam set for d·sin(α_k) = k·λ: 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 Double-Slit Interference?

Here is how to work through a typical Double-Slit Interference (d·sin(α_k) = k·λ) task step by step:

  1. 1

    Task

    d = 0.2 mm, screen at L = 2 m: the 1st maximum lies 6.4 mm from the centre. Find λ.

    Solution path

    λ = d·x/(k·L) = 2×10⁻⁴ × 6.4×10⁻³/(1 × 2) = 6.4×10⁻⁷ m = 640 nm (red light).

  2. 2

    Task

    At what angle does the 2nd maximum appear for d = 4 µm and λ = 500 nm?

    Solution path

    sin α = k·λ/d = 2 × 5×10⁻⁷/4×10⁻⁶ = 0.25, so α = arcsin(0.25) ≈ 14.5°.

d·sin(α_k) = k·λ · 10 cards ready

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