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Why Quantum Physics Does Not Need the Real Numbers
A plain-language version of “Completion-Invariance of Physical Ontology: The Rational Base Field in Quantum Foundations”
The short version
Every measurement ever recorded uses only fractions, not the full real number line. This paper shows that quantum predictions work just as well with fractions alone. The tiny errors from using fractions are far below what any experiment could detect.
The problem with numbers in physics
Quantum mechanics is written using the real numbers. These include endless decimals like pi. But every actual measurement result is a fraction: a finite string of digits. The theory speaks in one kind of number. The data speak in another. This gap is usually ignored. The paper says we should take it seriously.
The core idea is called completion-invariance. The real numbers and other number systems are all ways of filling in gaps between fractions. If you claim one filling is physically real, the same claim applies to all of them. You cannot pick one as special without a double standard.
What the paper proves
The authors build a version of quantum mechanics using only fractions. They limit how fine these fractions can be. Then they ask: how far do the predictions drift from the standard version?
They find a bound on this drift. For a system with four dimensions and very fine fractions, the drift is about one part in ten million billion billion. This is far below any precision humans have achieved. They also find how many bits of information are needed to hit a target precision. For very high precision, about forty-one bits suffice. For moderate precision, about twenty-one bits suffice.
A full description of a simple quantum state then needs a few hundred bits. This makes precise the idea that physical quantities carry only finite information.
Where the number systems might differ
The paper asks where the real numbers and the other systems could truly part ways. Two places are suggested, but not proven.
First, scale-free situations like critical phenomena might behave differently. Second, the other number systems have a tree-like structure. Systems with natural hierarchy might fit them better. These are open questions, not results.
What the paper does not show
The bound only covers finite systems with simple measurements. It does not cover quantum field theory or infinite systems. The paper does not model the errors from actual computer rounding. It assumes exact fraction arithmetic.
The paper also does not prove that no experiment can ever tell the systems apart. It states this as a projection based on assumed experimental limits. The authors note that their literature base has gaps: two sources had no usable summaries.
The weakest link, by their own admission, is their response to a possible realist defense. Someone might say the ordering of real numbers is the key property. The authors argue this ordering only helps with calculation, not with actual measurement. They call this an argument, not a theorem.
Words used here
- completion
- a way of filling in gaps between fractions to make a complete number system
- bound
- a guaranteed upper limit on how large something can be
- bit
- the smallest unit of information, a yes-or-no choice
Learn more in plain language
- Quantum foundationsWikipedia (English, more technical)
- P-adic numberSimple English Wikipedia
- Philosophy of mathematicsSimple English Wikipedia
- BitWikipedia (English, more technical)
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For specialists: the technical digest, quoted from the paper
In the paper's words
We propose and formalize a principle of completion-invariance for physical ontology: since all recorded measurement outcomes are rational numbers, the archimedean completion R and the non-archimedean completions Q_p of the rational base field Q are equally instrumental constructs, and any claim that the continuum is physically real must, to be consistent, extend equal reality-status to every completion of the same base field. We develop a finite-precision (rational) formulation of quantum mechanics in which amplitudes are restricted to rationals of bounded denominator and prove an explicit error bound: for a d-dimensional system with amplitudes approximated at n-bit precision, the deviation of every Born-rule probability from its standard value is at most (2+δ)√d δ with δ = 2^-n-1, which for d=4 and n=64 is ≈ 1.08× 10^-19 — far below any operational discrimination. [...]
The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.
Numbers it reports
We develop a finite-precision (rational) formulation of quantum mechanics in which amplitudes are restricted to rationals of bounded denominator and prove an explicit error bound: for a $d$-dimensional system with amplitudes approximated at $n$-bit precision, the deviation of every Born-rule probability from its standard value is at most $(2+\delta)\sqrt{d}\,\delta$ with $\delta = 2^{-n-1}$, which for $d=4$ and $n=64$ is $\approx 1.08\times 10^{-19}$ — far below any operational discrimination.
from AbstractWe derive the bit budget required to push this bound below any target tolerance ($n=41$ bits for $d=4$ at tolerance $10^{-12}$; $n=21$ bits at tolerance $10^{-6}$), identify scale-invariant and ultrametric regimes as the only plausible loci of genuine completion-divergence, and formalize the symmetry argument that any realist case for $\mathbb{R}$-reality transfers mutatis mutandis to $\mathbb{Q}_p$-reality.
from AbstractThen $\delta = 2^{-65}$ and $$\epsilon_P \le (2 + 2^{-65}) \cdot \sqrt{4} \cdot 2^{-65} = (2 + 2^{-65}) \cdot 2 \cdot 2^{-65} = (4 + 2^{-64})\, 2^{-65}.$$ Numerically: $2^{-64} = 1/2^{64} = 1/1.8446744\times 10^{19} \approx 5.421011\times 10^{-20}$, so $2^{-65} \approx 2.710505\times 10^{-20}$, and $$\epsilon_P \le 4 \times 2.710505431\times 10^{-20} + 2^{-64}\cdot 2^{-65} \approx 1.084202172\times 10^{-19} + 1.47\times 10^{-39} \approx 1.084202173\times 10^{-19}.$$ The second term is negligible; the bound is $\epsilon_P \approx 1.084202\times 10^{-19}$, i.e. $\approx 1.08\times 10^{-19}$ to two significant figures.
from 4.2 Numerical evaluation for a two-qubit systemUsing the leading-order bound $\sqrt{d}\,2^{-n} \le \epsilon_{\mathrm{target}}$ (a conservative simplification: the true bound $(2+\delta)\sqrt{d}\,2^{-n-1}$ is smaller, so the derived $n$ is sufficient), $$n \ge \log_2\!\left(\frac{\sqrt{d}}{\epsilon_{\mathrm{target}}}\right) = \frac{1}{2}\log_2 d + \log_2\frac{1}{\epsilon_{\mathrm{target}}}.$$ Example 1. $d = 4$, $\epsilon_{\mathrm{target}} = 10^{-12}$: $\frac{1}{2}\log_2 4 = 1$, and $\log_2(10^{12}) = 12 \log_2 10 = 12 \times 3.321928 = 39.86314$.
from 4.3 Bit budget for a target toleranceThis bound is far weaker than the bit-truncation bound of Section 4.1 (it fixes the precision at the apparatus rather than at the state description) and is included only to show that even the crudest rational model already sits below typical probability-level uncertainties; the main results use the bit-truncation convention.
from 4.5 Grid-rounding convention (alternative bound)The bound of Section 4.1 covers finite-dimensional systems with rational observables.
from 4.6 Where completions can genuinely diverge
How it is done
We develop a finite-precision (rational) formulation of quantum mechanics in which amplitudes are restricted to rationals of bounded denominator and prove an explicit error bound: for a $d$-dimensional system with amplitudes approximated at $n$-bit precision, the deviation of every Born-rule probability from its standard value is at most $(2+\delta)\sqrt{d}\,\delta$ with $\delta = 2^{-n-1}$, which for $d=4$ and $n=64$ is $\approx 1.08\times 10^{-19}$ — far below any operational discrimination.
from AbstractSection 4 carries out the explicit derivations, including the probability-error bound and the bit-budget calculation.
from 1. IntroductionThe supplied bibliography contains twelve entries; several are topically distant from quantum foundations, and we use each only for what its own summary states.
from 2. Background and Related WorkThe proof is immediate: the three cited properties are shared by every completion of $\mathbb{Q}$ by construction, so no argument appealing to them alone can discriminate.
from 3.1 The rational base field and its completions
What would falsify it
If the answer is no for all operationally accessible observables, then the choice of completion is a calculational convention, and adelic methods (the joint use of real and $p$-adic techniques) are legitimate tools rather than ontological commitments.
from 1. IntroductionIf the answer is yes in some regime, completion-invariance tells us exactly where to look for physically observable completion-divergence.
from 1. IntroductionSection 6 discusses limitations, failure modes, and what would falsify the claims.
from 1. Introduction
Where the claim stops
(ii) The derivation assumes exact rational arithmetic; floating-point implementations introduce their own rounding, which our $n$ counts do not model.
from 6. Discussion(iv) The benchmark precision levels in R3 and R6 are assumed, not measured; the qualitative conclusions survive several orders of variation in the assumed floor, but a reader requiring a specific experimental claim must supply their own precision figure.
from 6. DiscussionThe principle is falsified if a single, reproducible operational procedure is exhibited whose outcomes cannot be reproduced by any rational-valued reformulation of quantum mechanics at any feasible bit budget $n$ — that is, if the answer to the central question of Section 1 (do standard quantum predictions depend on the archimedean completion at all?) is demonstrably yes in an operationally accessible regime.
from 6. Discussion
Where to read
- Abstract218 words · 1 min
- 1. Introduction505 words · 2 min
- 2. Background and Related Work1,115 words · 5 min
- 3. Methods478 words · 2 min
- 4. Analysis802 words · 3 min
- 5. Results247 words · 1 min
- 6. Discussion441 words · 2 min
- 7. Conclusion199 words · 1 min
Read from the paper itself: 19 sections, 4,153 words. Nothing in this digest is written by a model; a line that is not a sentence of the paper is not shown. Have a specific question? Ask this paper.