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Author Topic: Bitcoin puzzle transaction ~32 BTC prize to who solves it  (Read 337626 times)
teguh54321
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May 11, 2025, 09:37:54 AM
 #10081

It's here! the first "breaking the elliptic curve" quantum computer cryptography competition is here! The QDay Prize is the first truly global quantum cryptanalysis competition with a 1 BTC prize. Entries are open, will anyone enter? https://www.qdayprize.org/
What's clear is that a major breakthrough in data decryption will occur very soon, and the 160 puzzle will certainly be decrypted this way.

huh.... the silence in the chat indicates people are feverishly trying their own version of this

A specialized laboratory is required for such a quantum computer. Not only does it need laser-generated (radiated) random numbers, but it also requires a quantum computer with a specific type of qubit optimized for Shor's algorithm, high-efficiency power supplies, sub-zero cooling with liquid nitrogen, and a fully controlled environment including air humidity..  The power required is about 3MW (like a train at full speed).

However, laser-generated random numbers are not directly tied to the security of ECDSA or most other cryptographic algorithms. Random number generation is a separate component of cryptography, essential for key generation and other cryptographic operations.

For example:
https://arxiv.org/pdf/2302.06639.pdf
This paper discusses related concepts.

Current IBM Quantum systems and other publicly available quantum computers do not possess the necessary hardware (such as arithmetic circuits) for "126+ logical qubits with error correction" (e.g., "Cat Qubits").

If someone were to achieve this, three-letter agencies would immediately recognize who accomplished it and they would know exactly where those researchers are located.   Grin
fbi?

Did you read the title of the scientific paper? They claim that they can crack 256-bit in 9 hours. All agencies that exist are interested in this.  Grin

So after these crypto to zero ?
Kelvin555
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May 11, 2025, 09:46:42 AM
 #10082


It's definitely not fishing equipment.  Grin

Can you help me out with a code ?, It's not related to these puzzles.

Can I DM you ?
nomachine
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May 11, 2025, 10:52:22 AM
 #10083

I can also come out with theories, it doesn't mean that they are feasible. It's a bit like cinema, when they predicted the smartphone, space travel, etc. it wasn't feasible at the time. It's easy to predict things, you don't need to be a psychic. So yes, although this is a serious study, it remains a simple theory. At least, that's what I think.

It’s essentially the same as the story of this puzzle. Someone is trying to determine how resistant BTC is to quantum computing attacks. That’s why these challenges were released with some ridiculous prize. I mean, if someone actually succeeded at this, they wouldn’t need a reward. Someone is just testing ideas and seeing how far people have progressed with them. Nothing more.

BTC: bc1qdwnxr7s08xwelpjy3cc52rrxg63xsmagv50fa8
Akito S. M. Hosana
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May 11, 2025, 12:26:08 PM
 #10084

I can also come out with theories, it doesn't mean that they are feasible. It's a bit like cinema, when they predicted the smartphone, space travel, etc. it wasn't feasible at the time. It's easy to predict things, you don't need to be a psychic. So yes, although this is a serious study, it remains a simple theory. At least, that's what I think.

It’s essentially the same as the story of this puzzle. Someone is trying to determine how resistant BTC is to quantum computing attacks. That’s why these challenges were released with some ridiculous prize. I mean, if someone actually succeeded at this, they wouldn’t need a reward. Someone is just testing ideas and seeing how far people have progressed with them. Nothing more.

Why do you think it has to be laser-generated random numbers?  Tongue
nomachine
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May 11, 2025, 01:40:57 PM
 #10085

I can also come out with theories, it doesn't mean that they are feasible. It's a bit like cinema, when they predicted the smartphone, space travel, etc. it wasn't feasible at the time. It's easy to predict things, you don't need to be a psychic. So yes, although this is a serious study, it remains a simple theory. At least, that's what I think.

It’s essentially the same as the story of this puzzle. Someone is trying to determine how resistant BTC is to quantum computing attacks. That’s why these challenges were released with some ridiculous prize. I mean, if someone actually succeeded at this, they wouldn’t need a reward. Someone is just testing ideas and seeing how far people have progressed with them. Nothing more.

Why do you think it has to be laser-generated random numbers?  Tongue

Some quantum random number generators use lasers to measure quantum phenomena, but in this case, they use microwave photons in superconducting resonators, which is even more difficult to implement (especially with error correction and lattice surgery).

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pbies
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May 12, 2025, 12:11:07 AM
 #10086

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

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nomachine
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May 12, 2025, 09:41:13 AM
 #10087

by JLP

All programs based on SECP256K1 by JLP have very similar performance when running on a CPU. They operate at the same speed using the same function Point Secp256K1::ComputePublicKey(Int *privKey). Other components such as AVX SIMD hashing, bloom filters, the kangaroo algorithm, or the BSGS algorithm can speed up specific scripts. However, unless SECP256K1 itself is accelerated, it doesn't matter which program you use if it's based on JLP. Same shit.

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0x1FFFFFF
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May 12, 2025, 09:50:38 AM
Last edit: May 12, 2025, 10:47:51 AM by 0x1FFFFFF
 #10088

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

https://i.ibb.co.com/fY2Y7CT0/Screenshot-2025-05-12-032148.png

I am currently working on it.. it works but still inconsistent, I'll post it when became stable
Akito S. M. Hosana
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May 12, 2025, 10:03:38 AM
 #10089

However, unless SECP256K1 itself is accelerated, it doesn't matter which program you use if it's based on JLP. Same shit.

What do you mean? I can't figure it out. Can you explain this better with a some practical example?  Embarrassed
pbies
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May 12, 2025, 11:07:06 AM
 #10090

by JLP

All programs based on SECP256K1 by JLP have very similar performance when running on a CPU. They operate at the same speed using the same function Point Secp256K1::ComputePublicKey(Int *privKey). Other components such as AVX SIMD hashing, bloom filters, the kangaroo algorithm, or the BSGS algorithm can speed up specific scripts. However, unless SECP256K1 itself is accelerated, it doesn't matter which program you use if it's based on JLP. Same shit.

I am trying to use it because it works on GPU.

BTC: bc1qmrexlspd24kevspp42uvjg7sjwm8xcf9w86h5k
mjojo
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May 12, 2025, 11:17:10 AM
 #10091

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch
pbies
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May 12, 2025, 01:50:22 PM
 #10092

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch

It hangs when given keyspace option.

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nomachine
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May 12, 2025, 02:10:46 PM
 #10093

Can you explain this better with a some practical example?  Embarrassed

Here is a practical example:

https://github.com/NoMachine1/Cyclone/tree/main/PUB

No AVX2, no algorithm, nothing. Just raw Point and Public Key search. If you want it even faster, you have to brainstorm and work to change SECP256K1 and to science the shit out of this.  Wink

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Akito S. M. Hosana
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May 12, 2025, 02:32:50 PM
 #10094

Can you explain this better with a some practical example?  Embarrassed

Here is a practical example:

https://github.com/NoMachine1/Cyclone/tree/main/PUB

No AVX2, no algorithm, nothing. Just raw Point and Public Key search. If you want it even faster, you have to brainstorm and work to change SECP256K1 and to science the shit out of this.  Wink

I have about 65 Mkeys/s here. This is about 20 Mkeys/s faster than the version with Hash 160 as the target. So -20 goes to hashing. Tongue
pbies
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May 12, 2025, 03:00:29 PM
 #10095

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch

It hangs when given keyspace option.

There was need to modify the code. Works fine now.

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mjojo
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May 12, 2025, 03:32:39 PM
 #10096

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch

It hangs when given keyspace option.

There was need to modify the code. Works fine now.

No need modify, just change some line on makefile to matching with GPU type and CUDA version.
pbies
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May 12, 2025, 05:30:04 PM
 #10097

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch

It hangs when given keyspace option.

There was need to modify the code. Works fine now.

No need modify, just change some line on makefile to matching with GPU type and CUDA version.


No, there are obvious bugs in the code, like using scanf istead of sscanf.

BTC: bc1qmrexlspd24kevspp42uvjg7sjwm8xcf9w86h5k
sxiclub
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May 12, 2025, 07:45:52 PM
 #10098

How to edit VanitySearch by JLP to search in puzzle 71 space (not from 1)?

Anybody gone into c/c++ in this project?

Try JLP VanitySearch forked by @allinbit and @Ilker, starting from ranges what you want.
https://github.com/ilkerccom/VanitySearch
I tested it with puzzle 57, give wrong private key generated:
Code:
VanitySearch v1.16 Linux with BitCrack integration
[keyspace] start=                                                 1EB25C907000000
[keyspace]   end=                                                 1EB25C90795DFFF
Difficulty: 1461501637330902918203684832716283019655932542976
Search: 15c9mPGLku1HuW9LRtBf4jcHVpBUt8txKz [Compressed]
Current task START time: Mon May 12 16:13:57 2025
Number of CPU thread: 0
GPU: GPU #0 NVIDIA GeForce RTX 2050 (16x128 cores) Grid(2048x256)
 
Warning, wrong private key generated !
  Addr :15c9mPGLku1HuW9LRtBf4jcHVpBUunRoQS
  Check:1MH9K9aeZNBvLoyRzk2pwfMwygM5hMjwgZ
  Endo:0 incr:540 comp:1
[EXIT] Range research completed (2^36.55) [00:01:06 RUN || END ...finishing][0] 
Current task END time: Mon May 12 16:15:05 2025
brainless
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May 13, 2025, 03:36:18 AM
 #10099

Can you explain this better with a some practical example?  Embarrassed

Here is a practical example:

https://github.com/NoMachine1/Cyclone/tree/main/PUB

No AVX2, no algorithm, nothing. Just raw Point and Public Key search. If you want it even faster, you have to brainstorm and work to change SECP256K1 and to science the shit out of this.  Wink
Need multiple pubkeys load by file and  search...

13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
nomachine
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May 13, 2025, 06:56:48 AM
 #10100

Need multiple pubkeys load by file and  search...

Why I never add a list of targets in any of my apps ?

When you’re searching for 1 target public key, your app only does 1 comparison per candidate key.

But if you’re searching for 10 target keys, now it’s gotta do 10 comparisons per candidate key.

This is called linear time complexity (O(n)), where:

n = number of target keys

Runtime scales directly with the number of keys

Here’s how different methods stack up:

Brute-Force (O(n)) = ~10x slower

Hash Prefix (O(1)) = ~3.5x slower

Bloom Filter (O(1)) = ~2.5x slower

Multi-Key AVX2 = ~5x slower

Even with AVX2, you still gotta loop through all targets:

cpp
Code:
for (int i = 0; i < 100; i++) {  
    __m256i target = load_key(targets[i]); 
    __m256i cmp = _mm256_cmpeq_epi8(candidate, target); 
    if (_mm256_movemask_epi8(cmp) == 0xFFFFFFFF) { 
        // Match found for targets[i] 
    } 

100x more comparisons = 100x slower in the worst case.

Yeah, the CPU tries to predict the loop, but with 100 targets, it messes up more often, pipeline stalls happen.

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