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 · Electricity

Electric Power

Electric power is the product of voltage and current; it states how much energy a device converts per second.

BasicExam-relevant

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

Formula

P = U·I
LaTeX: P = U \cdot I
P in watts [W] = [V·A] · U in volts [V] · I in amperes [A]

Variables & units – Electric Power

SymbolMeaningUnit
PElectric powerW (Watt)
UElectric voltageV
IElectric currentA

Derivation & background – Electric Power

Power is energy conversion per time: P = E/t. With Ohm's law the variants P = U²/R and P = I²·R follow; the latter describes the heat loss in cables (Joule heating). The electricity bill counts energy in kilowatt hours: 1 kWh = 3.6×10⁶ J.

Exam blueprint

Validity range

P = U·I holds generally for direct current; for alternating current it is the instantaneous power, and on average the power factor cos(φ) enters. The variants P = U²/R and P = I²R assume an ohmic load.

Derivation steps

Power is energy per time; voltage is energy per charge and current is charge per time.

  1. 1Energy per charge times charge per time: P = (E/Q)·(Q/t) = U·I.
  2. 2With U = R·I follow P = I²·R and P = U²/R.

Rearrangements

Current from power and voltage

I = \frac{P}{U}

This is how you check whether a fuse (e.g. 16 A) is sufficient.

Power from resistance and voltage

P = \frac{U^2}{R}

Useful when no current is given; only for ohmic loads.

Energy from power and time

E = P \cdot t

The basis of electricity cost calculations in kilowatt hours.

Task variant

A fan heater has P = 2,300 W on the 230 V mains. Find I.

I = P/U = 2,300 W / 230 V = 10 A. A 16 A fuse is sufficient.

A 100 W lamp runs for 5 hours. How much energy does it use in kWh?

E = P·t = 100 W × 5 h = 500 Wh = 0.5 kWh.

Common mistakes

Confusing power (watts) with energy (watt hours/joules).

Power is the rate; energy = power × time.

Applying P = U²/R to non-ohmic loads.

The R variants only hold when R is constant.

Mixing kW and W when substituting.

Convert everything to watts first: 2 kW = 2,000 W.

Exam context

  • Classic in household problems (fuses, electricity costs) and combined with Ohm law in circuit analysis.

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

Formula cluster

Energy in circuits

Connects circuit quantities with energy and cost considerations.

Worked example

A kettle on the 230 V mains draws a current of I = 8.7 A: P = 230 V × 8.7 A ≈ 2,000 W = 2 kW.

Applications

Sizing household appliances, fuse rating, electricity cost calculation (kWh), sizing of cable cross-sections

Quanta exam set

Curated exam set for "Electric Power":

Question (front)

Which formula describes Electric Power?

Answer in your set

Question (front)

How do you rearrange P = U·I for Current from power and voltage?

Answer in your set

Question (front)

Which common mistake happens with Electric Power?

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

P=U*IP=UIP=U^2/RP=I^2*RWatt Formelelektrische Leistung berechnenelectric power formulaLeistung Spannung Strom

Related formulas

More Physics formulas

Frequently asked questions about Electric Power

How do you calculate the electric power of a device?+

Multiply the applied voltage in volts by the current in amperes: P = U·I, and the result comes out in watts. A kettle on the 230 V mains with I = 8.7 A delivers P = 230 × 8.7 ≈ 2,000 W. If you know the resistance instead of the current, use the variants P = U²/R or P = I²·R, which follow from Ohm law. Nameplates usually state the power; from it you find the current backwards with I = P/U, which is important to check whether a 16 A fuse is sufficient. Remember to convert kilowatts to watts before calculating.

What is the difference between a watt and a kilowatt hour?+

The watt measures power, the rate of energy conversion, meaning how much energy a device converts per second. The kilowatt hour, by contrast, measures the energy itself: it is the amount of energy a 1 kW device converts in one hour, so 1 kWh = 1,000 W × 3,600 s = 3.6×10⁶ J. That is why the electricity bill counts kilowatt hours, not watts. Worked example: a 100 W lamp burning for 5 hours uses E = 0.1 kW × 5 h = 0.5 kWh. The classic mistake is to say "watts per hour", which is physically meaningless. Power is already a rate; energy is power times time.

When do you use P = U²/R and when P = I²·R?+

Both follow from P = U·I with Ohm law and hold for ohmic loads. Choose the form whose quantities are given: if a known voltage is applied (socket, battery), take P = U²/R. If the current is known or the same for all components (series circuit), take P = I²·R. The second form explains heat losses in cables: for a fixed transmitted power the current drops when the voltage rises, which is why transmission lines run at 380 kV, since half the current means a quarter of the line losses. In a parallel circuit the same voltage lies across all components, so P = U²/R is the fastest way to compare them.

How do you check whether a fuse is sufficient for a device?+

Find the current the device draws with I = P/U and compare it with the rated current of the fuse. Example: a 2,300 W fan heater on the 230 V mains draws I = 2,300/230 = 10 A, so a common 16 A fuse is sufficient. It gets critical when several devices share the same circuit: the currents add up. A kettle (2,000 W ≈ 8.7 A) plus a fan heater (10 A) already gives 18.7 A and trips the fuse. The fuse protects the cable from overheating, not the device. In such problems always calculate with the mains voltage of 230 V unless stated otherwise.

How do you calculate the electricity cost of a device?+

First compute the energy: E = P·t; with the power in kilowatts and the time in hours this directly gives kilowatt hours. Then multiply by the electricity price per kWh. Example: a 2 kW kettle running 10 minutes daily uses E = 2 kW × (1/6) h ≈ 0.33 kWh per day, about 122 kWh per year. At 0.35 €/kWh that is roughly 43 € annually. The same calculation pays off for standby devices: 5 W of continuous operation gives 5 W × 8,760 h = 43.8 kWh per year. The most common mistake is inserting watts instead of kilowatts and being off by a factor of 1,000.

Retain Electric Power for exams

Create a curated FSRS exam set for P = U·I: 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 Electric Power?

Here is how to work through a typical Electric Power (P = U·I) task step by step:

  1. 1

    Task

    A fan heater has P = 2,300 W on the 230 V mains. Find I.

    Solution path

    I = P/U = 2,300 W / 230 V = 10 A. A 16 A fuse is sufficient.

  2. 2

    Task

    A 100 W lamp runs for 5 hours. How much energy does it use in kWh?

    Solution path

    E = P·t = 100 W × 5 h = 500 Wh = 0.5 kWh.

P = U·I · 10 cards ready

Study as an exam set